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felipfr

LinkedIn MCP Server

by felipfr

comment_on_post

Add a comment to a LinkedIn post by providing the post ID and comment text. Engage with your network through thoughtful responses.

Instructions

Add a thoughtful comment to a LinkedIn post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postIdYesLinkedIn post ID
commentYesComment text
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'thoughtful comment', which is subjective and not informative. It omits crucial details like authentication requirements, posting side effects, or idempotency.

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?

The description is a single sentence with no wasted words. It is front-loaded and efficiently conveys the tool's purpose.

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?

For a simple tool with two parameters and no output schema, the description is functional but lacks behavioral context. The absence of annotations and insufficient behavioral transparency leave gaps in completeness.

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?

The input schema covers both parameters with descriptions. The description adds no additional semantic value beyond the schema. With 100% schema coverage, a baseline of 3 is appropriate.

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 clearly states the action ('Add') and the resource ('comment to a LinkedIn post'). It distinguishes the tool from siblings like 'like_post' and 'share_post', making the purpose unambiguous.

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 does not provide explicit guidance on when or when not to use this tool, nor does it mention alternatives. However, the tool's name and description are self-explanatory given there is no other comment-related sibling.

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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