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AiAgentKarl

agent-validator-mcp-server

validate_api_endpoint

Test an API endpoint for agent accessibility by checking response format, status codes, and documentation quality, and get a score from 0 to 100.

Instructions

Test a single API endpoint for agent accessibility.

Checks response format, status codes, documentation quality, and gives a score from 0-100.

Args: url: The API endpoint URL to test method: HTTP method (GET, POST, etc.) expected_format: Expected response format (json, xml, text)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
methodNoGET
expected_formatNojson
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description adequately conveys the read-only testing behavior and scoring, but lacks details on error handling or timeouts.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a summary and parameter list, but the docstring style adds minor redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity and no output schema, the description covers the main behavior and parameters, though return value details are missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description adds meaningful explanations for all three parameters, specifying expected values (e.g., HTTP methods, formats) beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it tests a single API endpoint for agent accessibility, checking response format and status codes, which distinguishes it from siblings like check_agent_interface_url and validate_openapi_spec.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies testing a single endpoint but does not explicitly state when to use this tool versus its siblings, leaving ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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