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processedfood

figma-comments-mcp

Get comments mentioning me

get_comments_mentioning_me

Retrieve Figma comment threads where you are @mentioned. Filter by page, author, or keyword to find relevant feedback quickly.

Instructions

Comment threads where the owner of the Figma token is @mentioned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesA figma.com file link (design/file URL) or a bare file key
pageNoOptional: limit to one page, by page name (e.g. "Homepage") or page id (e.g. "1:2" or "1-2")
authorNoOptional: only threads where this person wrote a message. Matches the Figma handle, partial and case-insensitive.
searchNoOptional: only threads whose text contains this keyword (case-insensitive)
max_threadsNoCap on unresolved threads shown, newest first (default 50)
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only states the basic purpose and does not disclose behavioral traits such as authentication requirements, read-only status, pagination behavior, or what happens when no mentions are found.

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 a single, clear sentence. It is concise but lacks additional structure or front-loading of key info.

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 has 5 parameters, no output schema, and no annotations, the description is too sparse. It does not explain edge cases, the nature of comment threads, or how the mention filter works, making it incomplete for an agent to use correctly.

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?

Parameter schema coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides for each parameter.

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 that the tool returns comment threads where the token owner is @mentioned. The verb 'get' and resource 'comments mentioning me' are specific, and it distinguishes from sibling tools like get_all_comments and get_unresolved_comments.

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?

The description implies the tool is for retrieving comments mentioning the user, but it does not provide explicit guidance on when to use it versus alternatives, nor does it mention when not to use it.

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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