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Rompni

figma-rest-mcp

by Rompni

Get comment reactions

get_comment_reactions
Read-only

Retrieve all reactions on a specific Figma comment, automatically following pagination to collect every reaction without manual paging.

Instructions

GET /v1/files/{key}/comments/{comment_id}/reactions — auto-follows pagination.next_page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesFigma file key or URL (figma.com/design/... or figma.com/file/...)
comment_idYes
auto_paginateNoFollow pagination automatically (default true).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.5.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the read-only nature. The description adds one behavioral detail: 'auto-follows pagination.next_page.' This is useful context beyond annotations. However, it does not disclose response format, potential errors, or rate limits, so it provides only minimal added value.

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?

The description is extremely concise—a single phrase that includes the full endpoint and the pagination behavior. It is front-loaded and every word earns its place. The brevity is appropriate for a simple GET tool, though one could argue it under-specifies the return value.

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

Completeness2/5

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

Given the tool's simplicity (3 parameters, no output schema) and the context of many sibling tools, the description is insufficiently complete. It does not state what the response includes (e.g., reactions with emoji and user), does not mention any prerequisites, and offers no rationale for when to pick this tool. A single-line endpoint reference leaves the agent guessing about the actual data returned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% (file and auto_paginate have descriptions; comment_id does not). The description only echoes the endpoint placeholders ({key}, {comment_id}) without adding any semantic explanation, and it fails to compensate for the undocumented comment_id parameter. It adds no insight beyond what the schema already provides.

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?

The description explicitly states the HTTP endpoint 'GET /v1/files/{key}/comments/{comment_id}/reactions', which unambiguously identifies the resource and action. The tool name 'get_comment_reactions' reinforces this. It is clearly distinct from siblings like post_comment_reaction and delete_comment_reaction by method and intent, though it does not explicitly say 'retrieves all reactions for a comment'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of scenarios where this should be preferred over get_comments or the reaction mutation tools, nor any exclusions or prerequisites. The readOnlyHint annotation hints at safety, but the description itself does not contextualize usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.