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Superpowers.social

Search Twitter

twitter-search
Read-onlyIdempotent

Search X/Twitter for tweets matching a query. Returns token-optimized results with engagement metrics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results to return (default 10)
queryYesSearch query string
cursorNoPagination cursor from a previous response
text_onlyNoReturn only {id, text} per tweet; quoted tweets keep their text. Drops author, date, URL, and reply/retweet/like counts. Use when you only need tweet contents, e.g. summarising or scanning many results. Leave false when you need to cite authors, link to tweets, filter by date, or rank by engagement.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / text_only / description
      Previous value: -"If true, return only id and text per tweet to save tokens."New value: +"Return only {id, text} per tweet; quoted tweets keep their text. Drops author, date, URL, and reply/retweet/like counts. Use when you only need tweet contents, e.g. summarising or scanning many results. Leave false when you need to cite authors, link to tweets, filter by date, or rank by engagement."
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare the tool read-only, idempotent, and non-destructive, so the description only needs to add extra context. It adds 'token-optimized results with engagement metrics', which gives a useful hint about output style, but it does not disclose pagination behavior, rate limits, or what 'token-optimized' concretely means.

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 front-loaded sentence with no filler. It states the action first, then adds a useful output characteristic. Every word earns its place.

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

Completeness3/5

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

For a simple read-only search tool, the description provides the core purpose and a hint at return contents. However, there is no output schema and the description does not specify return structure, sorting, or pagination behavior beyond what the cursor parameter implies, leaving some ambiguity for an agent.

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 the schema already documents all parameters clearly, including extensive guidance on text_only. The description itself adds no parameter-level meaning, but because the schema carries the burden, the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (search), the resource (X/Twitter tweets), and the matching criteria (query). It is unambiguous and informative, but it does not explicitly differentiate itself from sibling tools like twitter-news or twitter-user-tweets.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives such as twitter-user-tweets or twitter-search siblings. The only usage hint appears in the text_only parameter description, which is parameter-level guidance rather than tool-selection guidance.

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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