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cjkcr

X(Twitter) MCP Server

by cjkcr

publish_draft

Publishes a saved draft tweet or thread to X (Twitter) using its unique draft ID.

Instructions

Publish a draft tweet or thread

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draft_idYesID of the draft to publish
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 states the action ('Publish') which implies a write/mutation operation, but doesn't disclose any behavioral traits such as whether this is destructive (e.g., does publishing remove the draft?), what permissions are required, error conditions, or what happens after publishing. This leaves significant gaps for an agent to understand the tool's behavior.

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 extremely concise - a single sentence with zero wasted words. It's front-loaded with the core action and resource, making it immediately clear what the tool does without any unnecessary elaboration.

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 this is a mutation tool (publishing implies writing/changing state) with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after publishing, what gets returned, error scenarios, or how this differs from other publishing tools in the sibling list. For a tool that changes system state, more context is needed.

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?

The schema description coverage is 100%, with the single parameter 'draft_id' clearly documented in the schema. The description doesn't add any additional semantic context about the parameter beyond what's in the schema (e.g., format examples, where to find draft IDs, or validation rules). This meets the baseline of 3 when the schema does the heavy lifting.

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 ('Publish') and the resource ('a draft tweet or thread'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its siblings like 'quote_tweet' or 'reply_to_tweet' which also involve publishing content, leaving some ambiguity about when this specific tool should be used versus those alternatives.

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 like 'quote_tweet' or 'reply_to_tweet'. It doesn't mention prerequisites (e.g., needing an existing draft), exclusions, or contextual factors that would help an agent choose correctly among the publishing-related tools in the sibling list.

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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