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social-linkedin-search

Search public LinkedIn company profiles without credentials or cookies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesPublic LinkedIn company-search request without credentials/cookies.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden, and it does disclose the auth model (no credentials/cookies required) and that only public profiles are returned. However it omits rate limits, result caps, and any note on the nested payload's pagination behavior (offset/limit/max_items/take_pages), leaving real gaps.

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?

A single front-loaded sentence with no filler, which is efficient. It is arguably under-specified rather than concise, but as a structure it is clean and immediately readable.

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?

An output schema exists, so return values need not be explained. Yet for a tool with a nested 6-parameter payload and zero annotations, the description is thin: no usage routing, no pagination semantics, and no mention of result scope limits, leaving the agent to infer behavior from the schema alone.

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 reported at 100%, so the schema already documents the nested payload parameters, and the baseline is 3. The description adds no parameter-level meaning (e.g., how query maps to LinkedIn search or how take_pages interacts with limit/max_items), so it does not rise above the baseline.

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 and resource ('Search public LinkedIn company profiles'), which is clear and actionable. It distinguishes itself from the sibling family implicitly by naming LinkedIn, but never names or contrasts with the closest alternatives (social-facebook-search, social-google-maps-search).

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?

There is no statement of when to use this tool versus the many sibling social/search tools. The phrase 'without credentials or cookies' hints at an access model but does not tell the agent under what conditions this is the right choice over web-search or social-*-search.

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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