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Maheidem

@maheidem/linkedin-mcp

by Maheidem

linkedin_get_feed

Retrieve LinkedIn feed posts using an access token. Supports pagination with start position and count limits.

Instructions

📰 Get LinkedIn feed/timeline posts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accessTokenYesLinkedIn access token
countNoNumber of posts to retrieve (default: 10, max: 50)
startNoStart position for pagination (default: 0)
Behavior1/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It merely states the operation without any details on authentication, rate limits, error handling, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with an emoji, making it concise but lacking structured information. The emoji adds no functional value.

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

Completeness2/5

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

For a feed retrieval tool, the description omits details about return format, pagination behavior (beyond basic parameters), and potential errors. It is insufficient for an agent to fully utilize the tool.

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 input schema covers 100% of parameters with descriptions, so the baseline is 3. The description adds no extra parameter information beyond what the schema provides.

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 states the verb 'Get' and the resource 'LinkedIn feed/timeline posts', making the tool's purpose unambiguous. It distinguishes from sibling tools like 'linkedin_get_user_posts' which focus on individual user posts.

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 provides no guidance on when to use this tool over alternatives like 'linkedin_get_user_posts' or 'linkedin_get_post_details'. There is no mention of prerequisites or context.

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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