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reply_comment

Post a reply to an existing LinkedIn comment. Pass the comment_id (URN) returned by scrape_post as comment_urn — it is used directly as threadUrn. Use to answer a specific comment (comment_urn from scrape_my_posts or scrape_post); for a new comment on the post itself use comment_post. Counts against the daily comments quota.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesReply text.
account_idYesReach id of the LinkedIn account to act on, from list_accounts.
comment_urnYesURN of the comment to reply to (comment_id from scrape-post).
idempotency_keyNoOptional. A key you choose (a UUID is fine) that names this exact call. If you retry with the same key and the same arguments, the first call's result is returned and nothing is done twice on LinkedIn. Reusing a key with different arguments is refused. Keys expire after 24 hours.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
repliedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly=false, destructive=false, openWorld=true, idempotent=false, so the safety profile is covered. The description adds genuinely new context: the call counts against the daily comments quota and the URN is consumed directly as threadUrn. It does not reconcile idempotentHint=false with the retry-safe idempotency_key parameter, which is the one remaining disclosure gap.

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?

Three short sentences, front-loaded with the action, then the alternative routing, then the quota constraint. Every sentence carries distinct information and none is filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-write operation with a full output schema, the description supplies the prerequisite source for comment_urn, the sibling disambiguation, and the quota side effect. Nothing an agent needs to invoke it correctly is missing.

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 and the schema already explains account_id, text, comment_urn and idempotency_key. The description adds only a light clarification that comment_urn equals the comment_id from scrape_post and is used as threadUrn; it says nothing about the optional idempotency_key semantics.

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?

States a specific verb and resource ('Post a reply to an existing LinkedIn comment') and immediately contrasts with the sibling 'comment_post' for a new comment on the post itself. An agent can route between the two without opening either schema.

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?

Explicit when-to-use plus the alternative: 'Use to answer a specific comment ...; for a new comment on the post itself use comment_post.' It also names where the required comment_urn comes from (scrape_post / scrape_my_posts), closing the main selection gap.

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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