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griffinwork40

threads-mcp

get_mentions

Retrieve threads where you have been @mentioned. Access details like text, media, permalink, and engagement metrics such as likes, replies, reposts, and quotes.

Instructions

Get threads where the authenticated user has been @mentioned

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoFields to return. Default: id,text,media_type,media_url,permalink,timestamp,username,like_count,replies_count,repost_count,quote_count
limitNoNumber of results per page
afterNoCursor for next page
Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It does not mention rate limits, pagination behavior, authentication requirements, or response format. The description adds little beyond the action itself.

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 a single sentence of 8 words, efficiently conveying the core functionality. It is front-loaded with the verb and resource, with no wasted words.

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

Completeness3/5

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

Given the lack of output schema and no behavioral details, the description is adequate for a basic understanding but incomplete for an agent to fully utilize the tool, especially regarding pagination, field details, and response format.

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?

The input schema has 100% description coverage for its three parameters. The description adds no additional parameter details beyond what is already in the schema, so it meets the baseline but does not enhance understanding.

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?

Description clearly states the tool retrieves threads where the user is mentioned, using a specific verb and resource. It is distinct from sibling tools like get_thread or search_keyword, which focus on different retrieval patterns.

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 usage when needing mentioned threads but provides no explicit guidance on when not to use or alternatives like search_keyword. It minimally conveys context but lacks when-not or sibling differentiation.

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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