Skip to main content
Glama
cjkcr

X(Twitter) MCP Server

by cjkcr

create_draft_tweet

Generate a draft tweet for X/Twitter by providing the content, allowing users to prepare and review posts before publishing them.

Instructions

Create a draft tweet

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe content of the tweet
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Create a draft tweet' implies a write operation but doesn't specify permissions needed, whether drafts are saved locally or to a service, what happens if content exceeds length limits, or any other behavioral aspects. It's minimally informative about 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 with just three words that directly state the tool's purpose. There's zero waste or unnecessary elaboration, making it maximally efficient while still communicating the core function.

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?

For a write operation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what constitutes a successful creation, whether there are character limits or content restrictions, how the draft is stored or accessed, or what the tool returns. The context demands more information than provided.

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 one parameter 'content' fully documented as 'The content of the tweet'. The description adds no additional parameter information beyond what the schema provides, so it meets the baseline of 3 for adequate but not additive parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Create a draft tweet' clearly states the action (create) and resource (draft tweet), but it doesn't differentiate from sibling tools like create_draft_quote_tweet, create_draft_reply, or create_draft_thread. It's a basic statement of purpose without specifying what makes this tool distinct from other draft creation tools.

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. With multiple draft creation tools available (create_draft_quote_tweet, create_draft_reply, create_draft_thread), there's no indication of when this basic draft creation is appropriate versus those specialized alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cjkcr/x-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server