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Get one AI company

get_company
Read-onlyIdempotent

Full public profile of one company by slug (from search_ai_companies): description, founders, funding facts, open roles, recent news and source links.

Input Schema

NameRequiredDescriptionDefault
slugYesCompany slug, e.g. 'act.security'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
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. The description adds 'public profile' and lists returned sections, but does not disclose auth needs, rate limits, or error behavior beyond what the annotations cover.

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 wasted words. The purpose is immediately clear and the content list is compact.

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

Completeness5/5

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

No output schema exists, so the description carries the return-value burden, and it does so by enumerating description, founders, funding facts, open roles, recent news, and source links. For a read-only single-record tool with rich annotations and full schema coverage, this is complete enough.

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

Parameters4/5

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

Schema coverage is 100%, so the slug parameter is already well documented with an example. The description adds meaningful provenance by stating the slug comes from search_ai_companies, which goes beyond the schema.

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 and resource ('Full public profile of one company') and then enumerates the profile's contents. It also names search_ai_companies as the source of the slug, distinguishing this retrieval tool from the search sibling.

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

Usage Guidelines4/5

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

The parenthetical '(from search_ai_companies)' gives a clear prerequisite and usage context: obtain a slug from the search tool first. It does not explicitly state when not to use it or name alternative tools for news or jobs-only queries.

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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