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x_post

Post to X (Twitter) as a single tweet or threaded reply chain using OAuth 1.0a credentials. Supports up to 280 characters per post within X's free API limits.

Instructions

Post directly to X (Twitter) as a single post (<= 280 chars) or a reply-chained thread. Requires OAuth 1.0a credentials via setup. FREE — no credit cost, but X's free API tier caps writes at 17 tweets / 24h.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoSingle post text (<= 280 chars). Mutually exclusive with `thread`.
threadNoArray of posts to chain as a reply thread. Each <= 280 chars.
Behavior4/5

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

With no annotations provided, the description carries the full burden and does well by disclosing key behavioral traits: OAuth 1.0a credential requirement, free tier status, and X's API rate limit (17 tweets/24h). It also clarifies the character limit constraint. However, it doesn't mention error handling or response format.

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 efficiently structured in two sentences: the first states the core functionality, the second covers authentication and constraints. Every sentence earns its place with essential information, and it's appropriately sized for the tool's complexity.

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 mutation tool with no annotations and no output schema, the description does well by covering authentication, rate limits, and constraints. However, it doesn't explain what happens on success/failure or the return format, which would be helpful given the lack of output 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%, so the schema already documents both parameters thoroughly. The description adds marginal value by mentioning the character limit and the mutually exclusive nature of text vs thread, but doesn't provide additional syntax or format details beyond what the schema provides.

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's purpose with specific verbs ('Post directly to X (Twitter)') and resources ('single post or reply-chained thread'), and distinguishes it from sibling tools by specifying it's for X/Twitter posting rather than other platforms like Bluesky, LinkedIn, or Mastodon.

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

Usage Guidelines4/5

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

The description provides clear context about when to use this tool (for posting to X/Twitter) and mentions the OAuth requirement, but doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools for different platforms or purposes.

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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