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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_profiles_posts

Retrieve the last 50 posts from a LinkedIn profile by username. Supports pagination and date filtering for targeted post analysis.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesExample value: adamselipsky
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.
postedAtNoIt is not an official filter. It filters posts after fetching them from LinkedIn and returns posts that are newer than the given date. Example value: 2024-01-01 00:00
Behavior2/5

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

No annotations are provided, and the description only mentions a credit cost. It does not disclose whether the operation is read-only, any side effects, or rate limits. There is no information beyond the basic action.

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?

The description is extremely concise: two sentences that convey the core purpose and cost. No unnecessary words or redundant information.

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?

Given the tool has pagination (start, paginationToken) and no output schema, the description lacks details about how to use pagination, the response format, error handling, or any prerequisites. It is insufficient for a tool with 4 parameters.

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 coverage is 100%, so baseline is 3. The description adds no extra meaning beyond the schema; it merely restates the tool's purpose. Parameters are well-documented in the schema itself.

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 explicitly states the verb 'Get', the resource 'last 50 posts of a profile', and the limit '50 posts', making it clear and distinct from siblings like get_article or get_post.

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 is given on when to use this tool versus alternatives such as get_profile_post_and_comments or search_posts. The pagination parameters are described in the schema but no usage context is provided.

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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