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Search Twitter posts

twitter_search_list
Read-only

Search X posts by free-text keyword (not hashtag — use twitter.hashtag.list for that). Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional page size. Maximum supported value is 20.
queryYesSearch query text to run against public posts on X.
cursorNoOpaque pagination cursor returned by a previous response.
endDateNoOptional end date filter in YYYY-MM-DD format.
sectionNoOptional search section filter. Omit to use the default `top` section.
languageNoOptional language filter.
minLikesNoOptional minimum like count filter.
startDateNoOptional start date filter in YYYY-MM-DD format.
minRepliesNoOptional minimum reply count filter.
minRetweetsNoOptional minimum retweet count filter.

TDQS

A4.4/5.0
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 safety profile is covered. The description adds valuable behavioral context by specifying the return type ('Returns a list') and advising cursor-based pagination. It does not contradict annotations and goes beyond them to clarify operational behavior.

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 with zero fluff. The first sentence front-loads the purpose and the critical exclusion, and the second supplies the return/pagination hint. Every clause earns its place, and the structure is ideal for quick agent parsing.

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 tool has 10 parameters with comprehensive schema descriptions, the description does not need to repeat them. It covers the essential overview, the key distinction from hashtag search, and pagination guidance. The absence of an output schema is acceptable for a list-returning tool. Slight gap is that it doesn't mention other potential alternatives (e.g., profile-specific searches), but that's not required given the rich schema.

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%, meaning every parameter has a description. The tool description does not add any parameter-specific semantics beyond what the schema already provides; it only reiterates cursor usage, which is already documented. Thus it sits at the baseline 3, as the schema carries the full burden.

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 tool searches X posts by free-text keyword, with a specific verb and resource. It distinguishes itself from hashtag searches by explicitly naming the alternative (twitter.hashtag.list), and the sibling list confirms the presence of such a tool. This leaves no ambiguity about the tool's core function.

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 instructs when not to use this tool ('not hashtag') and directs to a specific alternative (twitter.hashtag.list). It also implies when to use it (free-text keyword search) and provides pagination guidance ('use cursor when paginated'). This fully meets the criterion of explicit when/when-not and alternatives.

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.