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There's An AI For That

Search companies

search_companies
Read-only

Search the TAAFT catalog for companies that build AI products.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYesAI company name to search for.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
companiesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered by structured data. The description adds only the catalog scope ('TAAFT catalog') and that results are companies building AI products; it says nothing about result volume, ranking, or matching behavior. With annotations carrying the safety burden, this is adequate but thin.

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?

A single front-loaded sentence with no filler. Every word (verb, catalog, resource, domain scope) earns its place.

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

Completeness3/5

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

Because an output schema exists, return values need not be explained, and the read-only nature is covered by annotations. However, for a search tool with an undocumented 'limit' parameter, the description should say something about result paging or caps; that gap leaves it only minimally complete.

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

Parameters2/5

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

Schema description coverage is only 50%: the 'query' parameter is documented in the schema, but 'limit' (default 20, range 1-50) carries no description anywhere. The description adds no parameter meaning at all, so it fails to compensate for the uncovered parameter.

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 (search) plus a specific resource (companies in the TAAFT catalog) and narrows scope to 'AI products', which separates it from siblings like search_tools or search_models. It stops short of explicitly naming which sibling to prefer, but the resource is unambiguous.

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?

The description gives no when-to-use guidance: it never contrasts this with get_company (single-record lookup) or the many other search_* siblings, nor does it state any prerequisite or context for choosing it. An agent must infer usage from the name 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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