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Check if a tool is listed

check_listing
Read-onlyIdempotent

Whether a website already has a live EveryAI listing, and what its owner can do next (claim it, or list it if it is not there yet).

Input Schema

NameRequiredDescriptionDefault
urlYesThe tool's website, e.g. "https://acme.ai".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds value by disclosing what the response conveys beyond a boolean: the listing status plus the owner's next possible action (claim vs. list), which is the key behavioral trait here.

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?

One sentence, front-loaded with the core answer ('whether a website already has a live EveryAI listing'), with the follow-up outcome in a parenthetical. Slightly convoluted phrasing but no wasted content.

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?

With no output schema, the description must convey what comes back, and it does at a high level (status plus next-action guidance). It stops short of describing the response shape or how 'not listed' is represented, but for a one-parameter read-only check this is close to sufficient.

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?

There is a single required parameter with 100% schema description coverage and an inline example, so the schema carries the semantics. The description adds nothing about URL form (http vs. https, trailing slash, whether a bare domain is accepted), so it stays at the baseline.

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

Purpose4/5

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

The description names the specific resource (a live EveryAI listing for a website) and the specific question it answers (listed or not). It is distinguishable from siblings like get_tool or search_tools because it is about listing status rather than tool content, though it never explicitly contrasts itself with them.

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 phrase 'what its owner can do next (claim it, or list it if it is not there yet)' implies this is a pre-submission/pre-claim check, but it never states when to call it versus get_tool, search_tools, or prepare_submission. Usage is inferable but not explicit, and no exclusions are given.

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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