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Reply to a platform comment

reply_comment
Destructive

Post a reply to a real audience comment captured in the manual-reply status-check table (manual_reply_comments). LINKEDIN, X, YOUTUBE, INSTAGRAM, BLUESKY, FACEBOOK for now. Publishes the reply directly on the platform and marks the comment 'replied'. Requires the comment_id from get_platform_comments; each comment can be replied to once. Postey's internal team comments come from get_internal_comments.

Input Schema

NameRequiredDescriptionDefault
requestYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is known; the description adds real value by stating that the reply is published directly on the platform and the comment is marked 'replied', making the irreversible external effect and the one-shot limit concrete. It doesn't discuss failure modes or per-platform constraints, and leaves idempotency handling entirely to the schema.

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?

Four tight sentences, front-loaded with what the tool does and the effect it has, then prerequisites and platform scope. No filler; slight crowding of platform list and routing note in the middle, but nothing that would be cut without losing information.

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

Completeness4/5

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

For a destructive, open-world write tool, the description covers the effect, the one-reply-per-comment limit, the prerequisite lookup tool, and platform scope, and an output schema exists so return values need no explanation. Missing only edge-case behavior (failure handling, text limits), which is minor given the annotation and schema coverage.

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?

Top-level schema coverage is 0% (only a single nested 'request' object with no description), so the description carries more burden; it does explain where comment_id comes from and that it is single-use. However, reply_text semantics (per-platform length or formatting limits) are not elaborated, and the idempotency_key is only documented in the schema, not in the description.

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+resource ("Post a reply to a real audience comment") and pins the exact object it operates on (the manual-reply status-check table, manual_reply_comments). It also separates itself from get_internal_comments, which surfaces a different class of comment, so an agent can distinguish it from siblings without opening the 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?

Gives a prerequisite (comment_id must come from get_platform_comments), a hard constraint (each comment can be replied to once), a supported-platform list, and a routing hint that internal team comments belong to get_internal_comments. That is explicit when-to-use, when-not-to-use, and the alternative source.

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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