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Check MCP server directory rules

check_mcp_server_directory_rules
Read-onlyIdempotent

Returns server details, tool counts, directory-specific results, individual checks, and a full report link after connecting to a public remote MCP server and reading its tool list without calling tools. Use it when someone asks whether an MCP server meets ChatGPT or Claude directory requirements; for scanning a regular webpage's AI readiness, use scan_webpage_ai_readiness instead. Pass url as the public MCP server address to check its connection, sign-in, domain, and tool rules.

Input Schema

NameRequiredDescriptionDefault
urlYesAddress of the public remote MCP server to check, such as https://mcp.example.com/mcp.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavior: it connects to the remote server and reads its tool list *without calling tools*, and it enumerates the checks performed (connection, sign-in, domain, tool rules). It stops short of noting failure modes such as unreachable or auth-gated servers, which keeps it below a 5.

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?

Three tight sentences with no filler; the return-value inventory and the sibling contrast are both front-loaded. The opening return list is somewhat dense but each item is informative.

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

Completeness5/5

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

With no output schema, the description compensates by enumerating the return shape (server details, tool counts, directory results, individual checks, report link) and the side-effect boundary (reads tool list, does not call tools). Nothing critical for correct invocation is missing.

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

Parameters3/5

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

Schema coverage is 100% and the single url parameter is fully documented with an example, so the schema does the heavy lifting. The description only reinforces the 'public MCP server address' constraint, which is already implied by the schema, so a baseline 3 is appropriate.

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 gives a specific verb and resource — checking whether a public remote MCP server passes ChatGPT/Claude directory rules — and immediately distinguishes it from the one sibling, scan_webpage_ai_readiness. An agent can route correctly without opening any schema.

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

Usage Guidelines5/5

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

It states the triggering condition ('when someone asks whether an MCP server meets ChatGPT or Claude directory requirements') and names the alternative tool plus the condition that selects it ('for scanning a regular webpage's AI readiness'). Both the use case and the exclusion are explicit.

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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