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Dribbble: Reply to comment

dribbble_reply_to_comment

Dribbble: Reply as you under a comment on one of your shots. Posts a reply under one comment on your shot, under your name. The reply is public on the shot. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesReply text.
comment_idYesComment ID from list_comments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior5/5

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

Beyond the annotations (write op, open-world, non-destructive), the description discloses that the reply is public on the shot, that it reaches other people, that it requires per-call user confirmation by default, and that a Cotlet API key with app access is needed. These are exactly the behavioral traits an agent needs and that the annotations do not convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded, but the text is redundant: 'Reply as you under a comment' is restated by 'Posts a reply under one comment on your shot, under your name', and confirmation is mentioned twice ('By default you confirm each call' / 'confirm with the user before each call'). It could be tightened considerably.

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 2-parameter write tool with no output schema, the description covers purpose, visibility, external reach, auth, and confirmation behavior adequately. It says nothing about the created reply's identifiers or error handling, but that is minor for this operation.

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 coverage is 100%, so both body and comment_id are already documented in the schema (including the pointer to list_comments). The description adds no extra meaning about parameter format or constraints, so the baseline 3 is appropriate.

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 (reply) and resource (comment) and pins the scope precisely: a reply under one comment on one of *your* shots, posted under your name. This distinguishes it operationally from a generic messaging tool, though it never explicitly names the sibling dribbble_reply_to_message it could be confused with.

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

Usage Guidelines3/5

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

There is contextual guidance around confirmation ('By default you confirm each call') and 'confirm with the user before each call', but no explicit statement of when to choose this tool over reply_to_message or other siblings. Usage is implied rather than contrasted against alternatives.

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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