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horizonbymuneeb

linkedin-mcp-pro

comment_on_post

Post a comment on any LinkedIn post by providing the post URL or URN. Customize the comment text and optionally test with dry run.

Instructions

Post a comment on a LinkedIn post (by URL or URN).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesLinkedIn post URL OR URN (urn:li:activity:...)
textYes
dry_runNo
Behavior2/5

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

With no annotations, the description fails to disclose behavioral traits like authentication requirements, rate limits, or side effects beyond saying 'Post a comment'. The dry_run parameter is not explained.

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?

A single concise sentence front-loading the core purpose with no unnecessary words.

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 and no annotations, the description is too minimal. It omits information about return values, error conditions, and behavioral context for a mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only the target parameter is elaborated (URL or URN). The text parameter lacks description beyond schema constraints, and dry_run is not mentioned. Schema coverage is low (33%) and description does not compensate.

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 specifies a clear verb (Post), resource (comment on a LinkedIn post), and input format (URL or URN), distinguishing it from sibling tools like create_post or react_to_post.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use (when needing to comment on a post) but provides no explicit guidance on alternatives or when not to use.

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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