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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_companys_post

Retrieve the last 50 posts from a company's LinkedIn page. Supports pagination via start offset and pagination token for accessing older posts.

Instructions

Get last 50 posts of a company. 1 credit per call

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesExample value: google
startNouse this param to get posts in next results page: 0 for page 1, 50 for page 2, 100 for page 3, etc.
paginationTokenNoIt is required when fetching the next results page. The token from the previous call must be used.
Behavior2/5

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

With no annotations, the description carries full burden. It fails to disclose behavioral traits such as rate limits, authentication requirements, pagination behavior beyond schema, or what happens if a company has fewer than 50 posts. The only behavioral hint is the credit cost.

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?

Two sentences: first states purpose, second adds cost note. No redundant or extraneous information. Efficient and front-loaded.

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?

Given no output schema and 3 parameters, the description is minimally adequate but lacks explanation of return structure or error handling. It does not fully compensate for missing annotations or output schema, leaving gaps for the agent.

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 baseline is 3. The description adds no additional meaning to parameters beyond the schema; it only mentions '1 credit per call' which is unrelated to parameter semantics.

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 action 'Get last 50 posts of a company', which is specific and distinguishes it from sibling tools like 'get_post' or 'get_profiles_posts'. The verb 'get' and resource 'last 50 posts of a company' are explicit.

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 explicit guidance on when to use this tool over alternatives. The description notes '1 credit per call' which implies cost consideration, but does not provide context or exclusions for choosing this tool among siblings.

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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