HOW-TO · DEBUG-MCP-TOOL-CALLS

How to Debug MCP Tool Calls

When agent tool calls fail, debugging opaque LLM outputs is frustrating. Learn how to inspect tool schemas, trace execution, and fix common MCP errors using wmcp.sh.

Blind agents and broken schemas

A common hurdle when building Model Context Protocol (MCP) integrations is the language model inventing arguments or hallucinating endpoints. Without visibility into the raw tool_use blocks, debugging schema mismatches or rate limit failures is a guessing game.

Disclaimer: wmcp.sh is an independent infrastructure provider and is not affiliated with Anthropic, OpenAI, or Microsoft.

Inspecting tool_use schemas dynamically

# 1. Fetch the exact tool schema the LLM sees
curl -s "https://wmcp.sh/api/v1/tools?url=https://acme-corp.example/openapi.yaml" | jq

# 2. Example output highlighting expected arguments
{
  "tools": [
    {
      "name": "get_customer_data",
      "description": "Retrieve customer information",
      "input_schema": {
        "type": "object",
        "properties": {
          "customerId": { "type": "string" }
        },
        "required": ["customerId"]
      }
    }
  ]
}

# 3. If the LLM sends "customer_id" instead of "customerId", the call will fail.
#    Use wmcp.sh verbose logging to catch this mismatch instantly.

Debugging Features

CapabilityWithout wmcp.shWith wmcp.sh
Schema Inspection❌ Manual parsing of OpenAPI specs✅ Real-time API extraction
Sub-100ms Latency⚠️ Gateway overhead delays debugging loops✅ Fast feedback via edge execution
Verbose Logging❌ Opaque LLM runtime errors✅ Detailed tracing for tool_use blocks
Rate Limit Mitigation⚠️ Failures on duplicate requests✅ Short TTL cache (~1s) deduplication

Common questions.

How do I inspect a tool_use block?

Enable verbose logging in your client to capture the raw JSON payload returned by the language model. You will see a tool_use or function_call block containing the tool name and arguments.

What causes schema mismatch errors?

Schema mismatches occur when the LLM hallucinates arguments or formats them incorrectly based on the provided JSON schema. Ensure your descriptions are clear and concise.

How do I debug rate limits?

Check the HTTP headers for 429 Too Many Requests. Implement short TTL caching (~1s) using wmcp.sh to deduplicate identical calls and reduce backend load.

Is wmcp.sh affiliated with Anthropic or OpenAI?

No. wmcp.sh is an independent provider and is not affiliated with Anthropic, OpenAI, or Microsoft.

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