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Reply to Comment

reply_to_comment

Reply to a comment on one of your published posts.

Supported platforms: X (reply tweets), Threads, Instagram, Facebook, YouTube. Not supported: LinkedIn, Pinterest, TikTok.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesYour reply text
threadIdYesThe inbox thread ID to reply to

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already indicate a write operation (readOnlyHint=false, destructiveHint=false). The description adds platform coverage, which is useful, but it does not disclose potential side effects like immediate public posting, rate limits, or authentication requirements. No contradiction with annotations.

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?

The description is only two short sentences: the first states the action clearly, and the second concisely lists platforms. Every word earns its place, and the most important information is front-loaded.

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 simple two-parameter tool with strong annotations and full schema coverage, the description is mostly complete. The platform list adds valuable context, but it lacks any mention of what happens after the reply is sent (e.g., immediate posting, return value), which would be helpful given there is no output schema.

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 description does not add parameter details, and there is a slight mismatch between the tool's 'comment' focus and the parameter description's 'inbox thread ID,' which could confuse agents about what threadId actually refers to.

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 clearly states 'Reply to a comment on one of your published posts' with a specific verb and resource. The supported/unsupported platform list further clarifies scope and distinguishes this from conversation-level or drafting tools like reply_to_conversation and draft_reply.

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?

The description provides explicit platform support and exclusions (X, Threads, Instagram, Facebook, YouTube vs. LinkedIn, Pinterest, TikTok), giving clear context on when to use the tool. However, it does not directly name alternative tools for unsupported cases, stopping short of full usage guidance.

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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