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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_profile_post_comment

Retrieve up to 50 comments from a LinkedIn profile post. Use the post URN, sort by relevance or recency, and paginate with tokens.

Instructions

Get 50 comments of a profile post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnYesPost (activity) urn value
sortYesit could be one of these; mostRelevant, mostRecent
pageNoExample value: 1
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 must cover behavioral aspects. It does not mention that the tool returns 50 comments per page, requires pagination for more, or any authentication or rate limits. The description is too shallow.

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 with no fluff. However, it sacrifices important details like pagination, making it efficient but somewhat incomplete.

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 no output schema, the description should explain return format or pagination behavior. It fails to mention that 'paginationToken' is required for subsequent pages, leaving the agent unprepared for multi-page use.

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 the schema already explains parameters. The description adds no additional meaning beyond the schema, meeting the baseline of 3.

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 clearly states the verb 'Get' and the resource 'comments of a profile post', and includes a specific count of 50. However, it does not clarify that this is per page and that pagination is available, which could mislead about the total number returned.

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 provided on when to use this tool versus siblings like 'get_profile_post_and_comments' or 'get_company_post_comments'. There is no mention of appropriate contexts or exclusions.

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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