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openclaw - 💡(How to fix) Fix [Bug]: Add automatic parameter validation before tool calls [1 participants]

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openclaw/openclaw#56771•Fetched 2026-04-08 01:48:01
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Error Message

Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow. 2. If missing required params, return error immediately without calling the tool

  • Faster error detection Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.
  1. If missing required params, return error immediately without calling the tool
  • Faster error detection Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.
  1. If missing required params, return error immediately without calling the tool
  • Faster error detection Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.
  1. If missing required params, return error immediately without calling the tool
  • Faster error detection

Code Example

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

---

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

---

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

---

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

---
RAW_BUFFERClick to expand / collapse

Bug type

Regression (worked before, now fails)

Beta release blocker

No

Summary

Feature Request: Tool Parameter Validation

Problem

Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.

Example:

  • read tool fails with "Missing required parameter: path" after calling
  • exec tool fails with "Missing required parameter: command" after calling

Proposed Solution

Add configuration options for pre-call parameter validation:

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

Behavior

When validation.enabled: true:

  1. Before executing any tool call, validate required parameters
  2. If missing required params, return error immediately without calling the tool
  3. If autoPrompt: true, automatically prompt AI to provide missing parameters

Benefits

  • Reduce wasted API calls
  • Faster error detection
  • Better user experience
  • Save token costs

Use Case

This is especially helpful for:

  • AI assistants with complex tool chains
  • Long-running autonomous agents
  • Cost-sensitive production environments

Steps to reproduce

Feature Request: Tool Parameter Validation

Problem

Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.

Example:

  • read tool fails with "Missing required parameter: path" after calling
  • exec tool fails with "Missing required parameter: command" after calling

Proposed Solution

Add configuration options for pre-call parameter validation:

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

Behavior

When validation.enabled: true:

  1. Before executing any tool call, validate required parameters
  2. If missing required params, return error immediately without calling the tool
  3. If autoPrompt: true, automatically prompt AI to provide missing parameters

Benefits

  • Reduce wasted API calls
  • Faster error detection
  • Better user experience
  • Save token costs

Use Case

This is especially helpful for:

  • AI assistants with complex tool chains
  • Long-running autonomous agents
  • Cost-sensitive production environments

Expected behavior

Feature Request: Tool Parameter Validation

Problem

Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.

Example:

  • read tool fails with "Missing required parameter: path" after calling
  • exec tool fails with "Missing required parameter: command" after calling

Proposed Solution

Add configuration options for pre-call parameter validation:

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

Behavior

When validation.enabled: true:

  1. Before executing any tool call, validate required parameters
  2. If missing required params, return error immediately without calling the tool
  3. If autoPrompt: true, automatically prompt AI to provide missing parameters

Benefits

  • Reduce wasted API calls
  • Faster error detection
  • Better user experience
  • Save token costs

Use Case

This is especially helpful for:

  • AI assistants with complex tool chains
  • Long-running autonomous agents
  • Cost-sensitive production environments

Actual behavior

Feature Request: Tool Parameter Validation

Problem

Currently, when calling tools with missing required parameters, the error only appears after the tool execution fails. This wastes API calls and disrupts workflow.

Example:

  • read tool fails with "Missing required parameter: path" after calling
  • exec tool fails with "Missing required parameter: command" after calling

Proposed Solution

Add configuration options for pre-call parameter validation:

{
  "tools": {
    "validation": {
      "enabled": true,        // Enable pre-call validation
      "autoPrompt": true      // Auto-prompt AI to complete missing params
    }
  }
}

Behavior

When validation.enabled: true:

  1. Before executing any tool call, validate required parameters
  2. If missing required params, return error immediately without calling the tool
  3. If autoPrompt: true, automatically prompt AI to provide missing parameters

Benefits

  • Reduce wasted API calls
  • Faster error detection
  • Better user experience
  • Save token costs

Use Case

This is especially helpful for:

  • AI assistants with complex tool chains
  • Long-running autonomous agents
  • Cost-sensitive production environments

OpenClaw version

2026.3.24 (cff6dc9)

Operating system

Windows10

Install method

poweshell

Model

kimi-code

Provider / routing chain

gateway.mode local/tailscale/public

Additional provider/model setup details

<img width="1223" height="639" alt="Image" src="https://github.com/user-attachments/assets/dae09cd2-a0c8-477f-bcfb-de69ad2d4888" /> <img width="1223" height="639" alt="Image" src="https://github.com/user-attachments/assets/e0e51efe-1120-40ea-8472-c08a6d1349af" />

Logs, screenshots, and evidence

Impact and severity

No response

Additional information

No response

extent analysis

Fix Plan

To implement the proposed solution, follow these steps:

  • Add a configuration option for pre-call parameter validation in the tool settings.
  • Create a validation function to check for required parameters before executing a tool call.
  • If autoPrompt is enabled, implement a feature to automatically prompt the AI to provide missing parameters.

Example code in Python:

import json

# Load configuration
config = json.load(open('config.json'))

# Define a function to validate parameters
def validate_parameters(tool, params):
    required_params = config['tools'][tool]['required_params']
    for param in required_params:
        if param not in params:
            return False
    return True

# Define a function to prompt AI for missing parameters
def prompt_ai(tool, params):
    required_params = config['tools'][tool]['required_params']
    missing_params = [param for param in required_params if param not in params]
    # Implement AI prompting logic here
    return missing_params

# Example usage
tool = 'read'
params = {'path': '/example'}
if config['tools']['validation']['enabled']:
    if not validate_parameters(tool, params):
        if config['tools']['validation']['autoPrompt']:
            missing_params = prompt_ai(tool, params)
            print(f"Missing parameters: {missing_params}")
        else:
            print("Missing required parameters")
    else:
        # Execute the tool call
        print("Executing tool call")

Verification

To verify that the fix worked:

  • Test the tool call with missing required parameters.
  • Check that the error is returned immediately without calling the tool.
  • If autoPrompt is enabled, verify that the AI is prompted to provide missing parameters.

Extra Tips

  • Make sure to handle cases where the AI prompting feature is not enabled.
  • Consider adding additional validation for parameter types and values.
  • Test the solution thoroughly to ensure it works as expected in different scenarios.

Vote matrix · Quick signals

Works
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Easy Fix
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Time Saver
Did it save you time?
Blocking
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Common Issue
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Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
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#api#authentication issue#prompt issue#agent setup#task chaining

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openclaw - 💡(How to fix) Fix [Bug]: Add automatic parameter validation before tool calls [1 participants]