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List Twitter profile tweets

twitter_profile_tweets_list
Read-only

List tweets from an X profile by handle. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (maximum 100). Default: 40.
cursorNoOpaque pagination cursor returned by a previous response.
handleYesX handle to look up, with or without a leading @.
includePinnedNoInclude pinned tweets on the first page. Default: false.
includeRepliesNoInclude reply tweets in the returned list. Default: false.

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description does not need to cover safety. It adds useful behavior beyond annotations by stating that the result is a list and that a cursor is used for pagination, which is actionable for agents. No contradictions with annotations.

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 with a brief parenthetical note on pagination. It is front-loaded with the core purpose and includes only essential additional information, with no filler.

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 list tool with a fully described schema, the description covers the main purpose and pagination behavior. It does not need to repeat parameter details or output format since those are either in the schema or not applicable (no output schema). Missing details like rate limits or authentication are not critical given the annotations.

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 descriptions cover all 5 parameters (handle, limit, cursor, includePinned, includeReplies) at 100% coverage. The description merely reinforces 'by handle' without adding any new semantic detail, so it falls at the baseline for high schema coverage.

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 the verb (list), resource (tweets from an X profile), and the primary parameter (handle). It distinguishes this from sibling tools like twitter_tweet_get (single tweet) and twitter_tweet_replies_list (replies), leaving no ambiguity about its function.

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 for retrieving a specific user's tweets based on the handle, but it does not explicitly contrast with alternatives such as twitter_search_list or twitter_community_tweets_list. No when-to-use or when-not-to-use guidance is given beyond the implicit context.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.