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AIsa X / Twitter

Get List Tweet TimeLine

get_twitter_list_tweets_timeline
Read-onlyIdempotent

Get the tweet timeline of an X List by listId, up to 20 per page, cursor-paginated. Use this to monitor a hand-curated set of accounts as a single feed — Lists are the cheapest way to track a fixed cohort (competitors, analysts, a beat) without polling each account. Returns tweets with has_next_page and next_cursor. To see who is in the List use get_twitter_list_members.

Published reference price: $0.0015 USD per successful request. Account-specific pricing and final settlement may differ.

Input Schema

NameRequiredDescriptionDefault
cursorNoCursor for paginating through results. Leave empty for the first page.
listIdNoThe list ID to get tweets from. e.g. 1846987139428634858

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / cursor / description
      Added value: +"Cursor for paginating through results. Leave empty for the first page."
    • addedInput schema / properties / listId / description
      Added value: +"The list ID to get tweets from. e.g. 1846987139428634858"
  2. Changed3 schema fields changed
    • removedInput schema / properties / cursor / description
      Removed value: -"Cursor for paginating through results. Leave empty for the first page."
    • removedInput schema / properties / listId / description
      Removed value: -"The list ID to get tweets from. e.g. 1846987139428634858"
    • changedInput schema / required
      Previous value: -[
      -  "listId"
      -]New value: +[]
  3. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld, non-destructive), so the bar is lower. The description nonetheless adds real behavioral context: page size (up to 20), cursor pagination, and the return fields `has_next_page`/`next_cursor`. It doesn't mention rate limits or auth requirements, keeping it at a 4.

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?

Front-loads the core action, followed by use case and return-shape notes; each sentence is informative. The 'cheapest way to track a fixed cohort' phrasing leans slightly promotional and costs a bit of tightness.

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

Completeness5/5

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

With an output schema present, return values needn't be explained, yet the description still notes pagination fields. Pagination behavior, scope, and sibling routing are all covered, so an agent has everything needed to call it 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?

Schema description coverage is 100%, so both parameters are already documented and the baseline is 3. The description reinforces `listId` and cursor-pagination semantics but adds no syntax or format detail beyond the schema.

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?

States a specific verb (Get), resource (tweet timeline of an X List), and scoping parameter (`listId`), which cleanly distinguishes it from the many sibling timeline tools like get_twitter_user_tweet_timeline. An agent can identify the target without opening the 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?

Gives an explicit use case (monitor a hand-curated set of accounts as a single feed) and routes to a related sibling (get_twitter_list_members) for a distinct need. It lacks an explicit when-not or a direct comparison to the user-level timeline sibling, so it falls just short of a 5.

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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