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Doist

Twist AI MCP Server

Official
by Doist

get-mentions

Read-onlyIdempotent

Fetch threads, comments, and messages that mention the current user. Filter by channel, author, or date range for precise results.

Instructions

Fetch threads, comments, and messages that mention the current user. Supports filtering by channel, author, and date range. Use this instead of search-content when no keyword query is needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return.
cursorNoCursor for pagination.
dateToNoEnd date for filtering (YYYY-MM-DD).
dateFromNoStart date for filtering (YYYY-MM-DD).
authorIdsNoFilter by author user IDs.
channelIdsNoFilter by channel IDs.
workspaceIdYesThe workspace ID to search in.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
cursorNo
hasMoreYes
resultsYes
workspaceIdYes
totalResultsYes
Behavior4/5

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

Annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds context that the tool fetches mentions of the current user and supports filtering, which is helpful but does not introduce any new behavioral traits beyond what annotations and schema imply.

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 two sentences, both front-loaded with the core action and filtering capabilities, and contains no superfluous words. It is concise and well-structured.

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?

Given the presence of an output schema and complete parameter schemas, the description covers the essential functionality (what is fetched and filtering). It does not mention pagination details beyond the cursor parameter, but overall it is complete enough for tool selection and invocation.

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% with clear descriptions for each parameter. The description summarizes filtering options ('Supports filtering by channel, author, and date range') but does not add significant semantic value beyond what the schema already provides, earning the baseline score of 3.

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 uses a specific verb 'Fetch' and clearly defines the resource as 'threads, comments, and messages that mention the current user'. It also differentiates from the sibling tool 'search-content' by noting this tool is for when no keyword query is needed.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool instead of the sibling 'search-content' tool ('when no keyword query is needed'), providing clear guidance on tool selection.

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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