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Get one AI tool's catalog record

get_ai_tool
Read-onlyIdempotent

Full catalog record for one AI tool: description, features, pros, cons, who it is best for, pricing tiers, and alternatives. Accepts a slug or a display name.

Input Schema

NameRequiredDescriptionDefault
toolYesSlug ('claude-code') or display name ('Claude Code').

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description contributes the returned field set and the slug-or-display-name input flexibility, but says nothing about failure behavior for unknown tools or whether the record is ever truncated.

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

Conciseness5/5

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

Two sentences, front-loaded with the payload contents and ending with the input format. Nothing is redundant or padding, and the most decision-relevant information leads.

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 correctly compensates by enumerating the returned fields (description, features, pros/cons, pricing tiers, alternatives). The remaining gap is edge-case behavior for misses or ambiguous names in a read-only, single-parameter tool, which is minor.

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 parameter already documents the slug/display-name convention, so the description's restatement of that same fact adds no new meaning. Baseline 3 applies; no format examples or normalization rules beyond the schema are given.

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?

States a specific verb-resource pairing ('Full catalog record for one AI tool') and enumerates the record's contents, which separates it from the plural-listing siblings. However, it never names search_ai_tools or find_ai_tool_alternatives as the alternative for lookup-by-criteria, so the differentiation is only implicit in the word 'one'.

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?

Usage is only implied: 'one AI tool' suggests a lookup when the tool is already known, versus search_ai_tools for discovery. There is no explicit when-to-use, when-not-to-use, or named alternative, and no guidance on what happens if the identifier is ambiguous or unknown.

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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