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Superpowers.social

Read Thread

twitter-thread
Read-onlyIdempotent

Read an entire tweet thread/conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tweetYesTweet URL or ID of any tweet in the thread
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?

The description adds scope behavior by stating it reads the entire thread/conversation rather than just the supplied tweet. Read-only, idempotent, and non-destructive hints are already provided by annotations, so the description does not need to restate them. It does not disclose pagination or rate-limit behavior, though the cursor parameter is present in the schema.

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 that is front-loaded with the verb and resource. It contains no filler and does not duplicate schema or annotation information.

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 read-only thread tool with full schema descriptions and safety annotations, the description is mostly adequate. However, with no output schema and no mention of paginated or potentially large responses, the agent may not know what response shape or multi-call behavior to expect. The 'entire thread' wording implies scope but not the mechanics.

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?

All three parameters are documented in the schema, including detailed guidance for text_only, so schema coverage is 100%. The description itself adds no parameter-level semantics, but the schema already carries the burden, so the baseline score of 3 applies.

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 uses a clear verb 'Read' and targets a specific resource: an entire tweet thread/conversation, which helps distinguish it from sibling tools that read single tweets or search. It does not explicitly name sibling differentiators, but the scope is evident from 'entire thread'.

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 text in the description states when to choose this tool over siblings like twitter-read, twitter-user-tweets, or twitter-search. The input schema gives guidance only for the text_only flag, not for tool selection. This leaves the agent to infer usage from name and title.

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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