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post_tweet

Create new posts on X (Twitter) with text, polls, and media attachments. Use this tool to publish content and engage with audiences directly from the x-mcp server.

Instructions

Create a new post on X (Twitter). Supports text, polls, and media attachments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text content of the tweet (max 280 characters)
poll_optionsNoPoll options (2-4 choices)
poll_duration_minutesNoPoll duration in minutes (default 1440 = 24h)
media_idsNoMedia IDs to attach (from upload_media)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action ('Create') and supported features, but fails to disclose critical traits: it doesn't state that this is a write operation (implied but not explicit), mention authentication requirements, rate limits, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence that front-loads the core purpose and lists key features without waste. Every word earns its place, making it easy to parse quickly.

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

Completeness2/5

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

Given the complexity of a write operation (posting to X/Twitter) with no annotations and no output schema, the description is incomplete. It lacks essential context: authentication needs, error handling, rate limits, and response format. For a tool with 4 parameters and mutation behavior, this leaves the agent under-informed.

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 fully documents all parameters. The description adds minimal value beyond the schema by listing supported content types ('text, polls, and media attachments'), which loosely maps to parameters but doesn't provide additional syntax or format details. This meets the baseline for high schema coverage.

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 verb ('Create') and resource ('new post on X (Twitter)'), and specifies supported content types ('text, polls, and media attachments'). It distinguishes from siblings like 'delete_tweet' or 'reply_to_tweet' by focusing on creation, though it doesn't explicitly contrast with similar tools like 'quote_tweet' or 'retweet'.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., authentication), when to choose this over 'reply_to_tweet' or 'quote_tweet', or any constraints like rate limits. This leaves the agent with minimal context for decision-making.

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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