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Get Article

get_twitter_article
Read-onlyIdempotent

Get the full body of an X Article (long-form post) by its tweet ID. Use this when a tweet links to or is an Article and the 280-character preview is not enough — this returns the complete text rather than the truncated tweet. Returns the article under article. For ordinary tweets use get_twitter_tweets.

Published reference price: $0.001 USD per successful request. Account-specific pricing and final settlement may differ.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tweet_idNoThe tweet ID of the article.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / tweet_id / description
      Added value: +"The tweet ID of the article."
  2. Changed2 schema fields changed
    • removedInput schema / properties / tweet_id / description
      Removed value: -"The tweet ID of the article."
    • changedInput schema / required
      Previous value: -[
      -  "tweet_id"
      -]New value: +[]
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description still adds useful behavior: that it returns complete article text instead of the truncated tweet, where the payload lives (`article`), and a pricing note. The `article` key is semi-redundant given the output schema, keeping this from a 5.

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?

Two tight sentences that front-load the capability, then the usage condition and alternative. The pricing block is boilerplate metadata rather than prose bloat.

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 need not be explained, and the description nonetheless notes the `article` key. Purpose, trigger, alternative, and cost are all present for a simple one-parameter read tool.

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?

Single parameter with 100% schema description coverage, so the schema already documents `tweet_id`. The description only restates "by its tweet ID" with no added format or edge-case detail, which is the expected baseline when the schema does the work.

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) and resource (full body of an X Article / long-form post) keyed by tweet ID, and immediately distinguishes it from the ordinary-tweet tool. An agent can tell exactly what this returns 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 Guidelines5/5

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

Gives an explicit trigger ("when a tweet links to or is an Article and the 280-character preview is not enough") and names the alternative for the other case ("For ordinary tweets use `get_twitter_tweets`"). When-to-use and when-not-to-use are both covered.

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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