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BACH-AI-Tools

LinkedIn Api8 MCP Server

get_company_post_comments

Retrieve comments from a LinkedIn company post. Specify the post URN, sort order, and pagination to fetch relevant or recent comments.

Instructions

Get comments of a company post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnYesPost urn value
sortYesit could be one of these; mostRelevant, mostRecent
pageNoExample value: 1
Behavior2/5

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

No annotations provided. The description only states 'Get comments' without disclosing read-only nature, rate limits, authentication requirements, or pagination behavior. With zero annotations, the description should carry the burden, but it provides minimal behavioral insight.

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?

A single sentence that is efficient and to the point. While concise, it could be slightly more informative without sacrificing brevity.

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?

No output schema is provided, and the description does not explain the return format or pagination details despite the page parameter. For a tool with three parameters, the description should offer more context about the results.

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?

Input schema has 100% coverage with descriptions for all three parameters. The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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 tool retrieves comments for a company post, matching the name. However, it does not differentiate from sibling comment-retrieval tools like get_article_comments or get_profile_post_comments.

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 such as get_profile_post_comments or get_article_comments. The description lacks context on prerequisites or appropriate scenarios.

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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