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Get Company Profile

get_company_profile
Read-only

Retrieve a company's LinkedIn profile by name or URL to read its about page, with optional posts and jobs sections.

Instructions

Get a specific company's LinkedIn profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionsNoComma-separated list of extra sections to read. The about page is always included. Available sections: posts, jobs Examples: "posts", "posts,jobs" Default (None) reads only the about page.
company_nameYesLinkedIn company name (e.g., "docker", "anthropic", "microsoft"). A full company URL is accepted too and is reduced to the slug.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it doesn't note authentication/scope requirements, rate limits, or the fact that requesting `sections` changes cost/behavior. With annotations present the bar is lower, but this description contributes essentially no extra behavioral context.

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 zero waste. It is appropriately sized, though its brevity comes at the cost of substance rather than being maximally informative.

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?

Annotations and an output schema carry the return-value and safety burden, so much is delegated. However, for a tool with multiple overlapping company siblings, the description is too thin to help an agent route correctly, leaving a real gap in sibling differentiation.

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%, so both parameters are already fully documented in the schema, including the `sections` enum-like values and default. The description adds no syntax or format detail beyond the schema, so the baseline of 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?

The description states a specific verb (get) and resource (a company's LinkedIn profile), making the core action unambiguous. It distinguishes the target as a company rather than a person, but does not differentiate from close siblings like get_company_posts, get_company_employees, or search_companies.

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 guidance on when to use this tool versus alternatives such as search_companies or get_company_employees. No prerequisites, no exclusions, and no mention of when the extra `sections` should be requested are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.