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search_docs

Read-onlyIdempotent

Search Growth Choice published documentation: articles, guides, case studies, and service pages. Returns ranked results with canonical URLs.

Input Schema

NameRequiredDescriptionDefault
typeNoFilter by content type
queryYesNatural language search query

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description earns credit by adding what annotations can't: the result format ('ranked results with canonical URLs') and the bounded published-documentation corpus. It stops short of stating result-count limits, pagination, or empty-result behavior, which keeps it from 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.

Conciseness5/5

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

Two sentences, zero filler. Scope comes first, return characteristics second — properly front-loaded and proportionate to a two-parameter search tool.

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 a 100%-covered schema and no output schema, the description carries the return-value burden and does so ('ranked results with canonical URLs'). What's left out — pagination, result caps, behavior on no matches — is minor for a simple search but not nothing.

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 description coverage is 100% — both params are documented and the type enum is spelled out in the schema. The description's list of content types ('articles, guides, case studies, and service pages') loosely mirrors part of the enum, but omits company, industry, and methodology, so it adds little the schema doesn't already say. Baseline 3 applies.

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 ('Search Growth Choice published documentation') and enumerates the content types in scope, so the agent knows exactly what corpus is being hit. It doesn't name the sibling tools (get_doc, list_docs) to contrast against, so the distinction from 'list' and 'get' is only implied by the verb.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is given. Nothing tells the agent to prefer this over list_docs for discovery, or to follow up with get_doc to fetch a full document — that routing must be inferred from the verb alone.

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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