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joaovaleri

linkedin-mcp

by joaovaleri

linkedin_get_company_posts

Retrieve recent posts from a company's LinkedIn feed using the company slug. Helps monitor updates and analyze content.

Instructions

Get recent posts from a company's LinkedIn feed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companySlugYesCompany slug from its LinkedIn URL (e.g. 'microsoft')
Behavior2/5

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

No annotations provided, so the description must carry the burden. It does not disclose authentication requirements, rate limits, or what 'recent' means. The minimal description is insufficient for an agent to understand side effects or constraints.

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?

The description is a single, concise sentence that is front-loaded with the key intent. It could be slightly expanded without becoming verbose, but it is not overly terse.

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?

For a simple tool with one required parameter and no output schema, the description is adequate but lacks details like pagination, result limit, or response format. Given the tool's simplicity, it meets minimum viability.

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?

The sole parameter 'companySlug' is already documented in the schema with an example ('microsoft'). The description adds no additional meaning beyond what the schema provides, so baseline score of 3 applies.

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?

The description clearly specifies the action ('get') and the resource ('recent posts from a company's LinkedIn feed'). It is distinct from sibling tools like 'linkedin_get_recent_posts' (which likely refers to a personal feed) and 'linkedin_get_company_profile'.

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?

No guidance on when to use this tool versus alternatives (e.g., 'linkedin_get_feed' or 'linkedin_get_company_profile'). No context about prerequisites or expected use cases.

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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