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get_list_tweets

Read-onlyIdempotent

Get tweets from an X list by list id (~20 per page). Use cursor to paginate. Prefer get_list_timeline for the list home timeline endpoint.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "listId": "<listId>"
    },
    "name": "get_list_tweets"
  }
}

Input Schema

NameRequiredDescriptionDefault
cursorNoPagination cursor from a previous response next_cursor. Omit or "" for the first page.
listIdYesList id, e.g. 1846987139428634858
sinceTimeNoUnix timestamp (seconds); on or after
untilTimeNoUnix timestamp (seconds); before
includeRepliesNoInclude replies. Default true on API.

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered; the description adds real behavioral value on top with the ~20 results-per-page volume and the cursor-based pagination model. It does not mention ordering, rate limits, or whether truncated/protected content is filtered, so it stops short of a 5.

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?

Three compact sentences, front-loaded with what it returns, then how to page, then the alternative to consider. Every clause carries information and nothing is repeated from the title or schema.

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 read-only paginated list fetcher with no output schema, the definition supplies enough to call it correctly: required listId, page size, cursor semantics, and the sibling alternative. It leaves result ordering and failure/empty-list behavior unstated, which is a modest but not blocking gap.

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 description coverage is 100%, so all five parameters (including cursor, sinceTime/untilTime and includeReplies) are already documented in structured form. The description only restates the cursor pagination pattern and adds the page-size figure, which is a marginal increment over the schema — baseline 3 is appropriate.

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 states a specific verb and resource ("Get tweets from an X list") plus the required identifier ("by list id"), which is precise enough to distinguish it from generic tweet search or user-timeline tools. It also names the adjacent sibling get_list_timeline, so an agent can separate the two without opening either schema.

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

Usage Guidelines4/5

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

It gives an explicit routing rule: use get_list_timeline when the list home timeline endpoint is wanted, otherwise this one. That is clear context for selection, but there is no guidance on when-not-to-use for other cases (e.g. keyword search via search_tweets, or fetching known ids via get_tweets_by_ids).

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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