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linkedin_add_comment

Destructive

Add a comment to a LinkedIn post. Use post_id from search results or thread data. Not available in this version.

Input Schema

NameRequiredDescriptionDefault
textYesComment text to post
post_idYesLinkedIn post/activity ID (from search results or thread metadata)
in_workspaceNoRun this one call in this workspace id instead of the session's. Nothing is stored; other sessions are not affected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, openWorldHint=true and idempotentHint=false, so the write/irreversibility profile is covered structurally. The description adds the non-obvious behavioral fact that the tool is unavailable in this version, which is real added value. It does not explain visibility of the posted comment, permissions, or failure behavior, keeping it short of a 5.

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?

Three short sentences with no filler. The most decisive fact for an agent — that the tool is not available — is placed last rather than front-loaded, which is a minor structural miss.

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?

The critical availability caveat is present, and the schema fully documents all three parameters, so an agent is unlikely to call this by mistake. However, 'Not available in this version' is ambiguous — it does not say whether calls error out, whether the tool is a stub, or what the agent should do instead — leaving a genuine decision gap for an agent that needs to comment on a LinkedIn post.

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 description coverage is 100%, so the baseline is 3. The sentence 'Use post_id from search results or thread data' essentially restates the schema's own post_id description and adds no format, syntax, or constraint detail. Nothing is said about the optional in_workspace parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Add a comment to a LinkedIn post.' That is unambiguous and naturally distinct from siblings like youtube_post_comment_reply or tasks_comment. It does not explicitly name a sibling or scope boundaries beyond the LinkedIn platform, and the trailing availability caveat slightly muddies the purpose statement.

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

Usage Guidelines4/5

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

Provides a concrete sourcing rule for the key input ('Use post_id from search results or thread data') and, more decisively, states 'Not available in this version' — an explicit when-not-to-use signal. It stops short of naming an alternative path for achieving the same outcome, so it is clear but not complete.

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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