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LinkedIn: List comment replies

linkedin_list_comment_replies
Read-onlyIdempotent

List replies under one exact LinkedIn comment. Chain: resolve post -> post.id -> list comments -> comment.id -> replies. Post ID: Exact provider post id; LinkedIn commonly uses a preformatted/base64-style post ID. Obtain with: linkedin_search_posts -> result.id; linkedin_list_user_posts -> result.id; instagram_list_user_posts -> result.id Never pass: post text, author user ID, URL unless a resolver tool explicitly accepts it. Comment ID: Exact comment id scoped to the identified post. Obtain with: linkedin_list_post_comments(post_id) -> comment.id; instagram_list_post_comments(post_id) -> comment.id Never pass: comment text, post_id.

Input Schema

NameRequiredDescriptionDefault
offsetNo
post_idYesExact post ID from post search/list. Post ID: Exact provider post id; LinkedIn commonly uses a preformatted/base64-style post ID. Obtain with: linkedin_search_posts -> result.id; linkedin_list_user_posts -> result.id; instagram_list_user_posts -> result.id Never pass: post text, author user ID, URL unless a resolver tool explicitly accepts it.
account_idNoOptional Nilyo connection ID (unipile_account_id from list_connected_accounts). Omit when the user has one account for this provider. When several exist, Nilyo never guesses: list them (display name, identifier, provider user ID), choose the one the user named or ask, and pass its ID here.
comment_idYesExact comment ID from comments of the resolved post. Comment ID: Exact comment id scoped to the identified post. Obtain with: linkedin_list_post_comments(post_id) -> comment.id; instagram_list_post_comments(post_id) -> comment.id Never pass: comment text, post_id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / post_id / description
      Previous value: -"Exact post ID from post search/list. Post ID: Exact provider/Unipile post id; LinkedIn commonly uses a preformatted/base64-style post ID. Obtain with: linkedin_search_posts -> result.id; linkedin_list_user_posts -> result.id; instagram_list_user_posts -> result.id Never pass: post text, author user ID, URL unless a resolver tool explicitly accepts it."New value: +"Exact post ID from post search/list. Post ID: Exact provider post id; LinkedIn commonly uses a preformatted/base64-style post ID. Obtain with: linkedin_search_posts -> result.id; linkedin_list_user_posts -> result.id; instagram_list_user_posts -> result.id Never pass: post text, author user ID, URL unless a resolver tool explicitly accepts it."
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered by structured data. The description adds chaining context but says nothing about pagination behavior or result limits, which matters for a list tool that exposes an offset parameter.

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?

Front-loaded with the one-line purpose, then tightly packed chain notation with no filler sentences. The repetitive restatement of parameter guidance that also lives in the schema is mildly wasteful but does not obscure the core instruction.

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?

Input resolution is covered thoroughly for a 4-parameter tool, but with no output schema and an unexplained offset parameter, the agent gets no sense of how replies are returned or paged. For a listing tool this is a meaningful gap, though annotations and schema carry most of the remaining burden.

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 75%, which sets a baseline of 3. The post_id and comment_id text in the description is essentially a verbatim duplicate of the schema property descriptions, and account_id and offset receive no treatment in the description, so no meaning is added beyond the schema.

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 with scope: "List replies under one exact LinkedIn comment." The word "replies" plus the parent-comment scoping distinguishes it from linkedin_list_post_comments, which returns top-level comments, so an agent can tell the two apart. It stops short of explicitly naming that sibling as the alternative.

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 explicit prerequisites and an acquisition chain (resolve post -> post.id -> list comments -> comment.id -> replies) and clear exclusions ("Never pass: post text, author user ID, URL"). What it lacks is any statement of when this tool should be preferred over its siblings, but the chaining makes the intended slot in the workflow unambiguous.

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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