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himanshu31shr

LinkedIn MCP Server

get_post_comments

Retrieve comments from a LinkedIn post using its URN. Supports pagination to control the number and offset of comments returned.

Instructions

Get comments on a LinkedIn post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postUrnYesThe URN of the post to get comments for
countNoNumber of comments to retrieve (1-100, default 10)
startNoPagination offset (default 0)
Behavior2/5

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

No annotations are present, so the description carries the burden. It only says 'Get comments' without disclosing behavior like pagination, ordering (if any), rate limits, or whether replies are included. Input schema suggests pagination but description adds no behavioral context.

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?

Description is a single concise sentence with no wasted words. However, it could be slightly expanded with additional context without becoming verbose.

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 the tool has 3 parameters (all documented in schema) and no output schema, the description is adequate but lacks details on return format, whether all comments are returned, or any additional context about the comments retrieved.

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% with all three parameters described. The description does not add any meaning beyond the schema. Baseline of 3 is appropriate as the schema already provides 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?

Description explicitly states 'Get comments on a LinkedIn post', clearly identifying the action (get) and resource (comments on post). It distinctively separates from sibling tools like create_comment, delete_comment, etc.

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 is provided. The description lacks any context about prerequisites or conditions where this tool is appropriate.

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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