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BACH-AI-Tools

LinkedIn Data API MCP Server

get_profile_post_comment

Retrieve comments from a LinkedIn profile post. Specify post URN and sort order (mostRelevant or mostRecent). Supports pagination to get up to 50 comments per page.

Instructions

Get 50 comments of a profile post (activity)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnYesPost 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?

No annotations exist, so the description must convey behavior. It states the operation is reading ('Get'), but omits details such as authentication requirements, behavior for posts with fewer than 50 comments, or pagination implications. The parenthetical '(activity)' adds minimal context.

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 very short (one sentence) and front-loaded, but overly minimal given the tool's complexity. It sacrifices completeness for 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?

With 4 parameters, no output schema, and no annotations, the description is insufficient. It mentions '50 comments' yet the schema indicates pagination (paginationToken), suggesting more than 50 may be accessible. The description lacks operational details.

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%, with all four parameters documented. The description adds no additional meaning beyond the schema, earning a baseline score 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 it retrieves 50 comments from a profile post with a specific verb and resource. It distinguishes from siblings like get_article_comments by specifying 'profile post' and a fixed count, but does not fully differentiate from get_profiles_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 is provided on when to use this tool versus siblings like get_article_comments or get_profile_post_and_comments. There is no mention of prerequisites or limitations.

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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