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isteamhq

@isteam/linkedin-mcp

by isteamhq

comment_on_post

Comment on any LinkedIn post by providing its unique URN and your message up to 1250 characters.

Instructions

Comment on a LinkedIn post (max 1250 chars). Requires post URN — use WebSearch to find posts, then get_post to get the URN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_urnYesURN of the post to comment on
textYesComment text (max 1250 chars)
Behavior2/5

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

No annotations exist, placing full burden on description. It only mentions max length but fails to disclose important behaviors like visibility, editability, rate limits, or authentication needs.

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?

Two sentences concisely convey purpose, constraint, and usage guidance. No redundant information.

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?

While the tool is simple, the description omits details about post-comment behavior (e.g., public visibility, inability to edit). Moderate completeness for a write action.

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%, so baseline is 3. The description adds context about obtaining the URN but does not significantly enhance parameter meaning beyond the schema.

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 'Comment on a LinkedIn post' and specifies the max length constraint. It distinctly identifies the tool's purpose among siblings like 'create_post' or 'delete_post'.

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

Usage Guidelines5/5

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

The description explicitly instructs to use WebSearch and get_post to obtain the post URN, providing clear guidance on prerequisites and workflow.

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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