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himanshu31shr

LinkedIn MCP Server

create_comment

Add a comment to a LinkedIn post by specifying the post URN and text content. Enables direct engagement on LinkedIn posts.

Instructions

Add a comment to a LinkedIn post

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postUrnYesThe URN of the post to comment on
textYesThe text content of the comment
authorUrnNoThe URN of the author (defaults to authenticated user)
Behavior2/5

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

No annotations exist, so the description carries full transparency burden. It only states the action without disclosing behavioral traits like authentication requirements, rate limits, or side effects (e.g., mutation). Minimal disclosure.

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?

One sentence of 6 words is concise. The phrase 'LinkedIn post' is slightly redundant given the tool name, but overall efficient and front-loaded.

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?

For a creation tool with 3 parameters (2 required) and no output schema, the description omits important context: return value, posting behavior (e.g., immediate vs pending), and formatting constraints. Incomplete for safe invocation.

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% (all parameters described with names and types). The description adds no extra meaning beyond the schema; baseline 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 'Add a comment to a LinkedIn post' clearly states the verb (Add), resource (comment), and context (LinkedIn post), which differentiates it from sibling tools like delete_comment.

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 (e.g., add_reaction) or prerequisites (e.g., user must be authenticated). The description is purely operational.

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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