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Read-onlyIdempotent

Keyword search over the company, platform, contact and FAQ text. Returns the best matches with page links. Read-only and safe to repeat; it changes nothing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesWords to look for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so 'Read-only and safe to repeat; it changes nothing' is largely redundant with structured data and earns little credit. What it does add is return behavior ('best matches with page links'), which matters because there is no output schema, though ranking/ordering and result-limit behavior remain undisclosed.

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?

Two short sentences, front-loaded with the search scope before the safety note. The second sentence is somewhat redundant against the annotations, but the text is not bloated.

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?

For a single-parameter read-only search tool with rich annotations and no output schema, the description covers what is searched and the rough shape of the result. Minor gaps (result count, ranking, empty-result behavior) are tolerable at this complexity.

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?

Only one parameter exists and schema coverage is 100%, with the schema documenting 'Words to look for' plus length bounds. The description adds no syntax, tokenization, or multi-word semantics beyond the schema, so the 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?

States a specific verb (keyword search) over a named corpus (company, platform, contact and FAQ text) and describes the return (best matches with page links). This clearly separates it from the content-specific siblings like get_faq and get_company_overview, which fetch one section rather than searching across all of 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?

Usage is implied: it searches across the four text corpora, so an agent can infer it is the tool for cross-cutting keyword lookup rather than fetching a single known page. However, it never explicitly says when to prefer this over get_faq/get_company_overview or get_contact_and_support, and gives no exclusions or prerequisites.

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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