Skip to main content
Glama
cjkcr

X(Twitter) MCP Server

by cjkcr

create_draft_quote_tweet

Create a draft quote tweet by adding your comment to an existing tweet, allowing you to share thoughts while referencing source content before publishing.

Instructions

Create a draft quote tweet with comment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentYesYour comment on the quoted tweet
tweet_idYesThe ID of the tweet to quote
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 tool creates a draft, implying a non-destructive, preparatory action, but doesn't clarify if it's read-only, requires specific permissions, or has side effects like rate limits. This leaves key behavioral traits unspecified.

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 directly states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized, 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 lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like authentication needs, draft lifecycle, or error handling, which are crucial for a tool that creates drafts. This leaves significant gaps in understanding how to use the tool effectively.

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%, so the input schema already documents both parameters ('comment' and 'tweet_id') adequately. The description adds no additional meaning beyond what the schema provides, such as format examples or constraints, resulting in a baseline score.

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 ('Create a draft quote tweet') and resource ('quote tweet with comment'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'quote_tweet' or 'create_draft_reply', which could cause confusion about when to use each.

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?

No guidance is provided on when to use this tool versus alternatives like 'quote_tweet' or 'create_draft_reply'. The description lacks context about prerequisites, such as whether authentication is needed or if the draft must be published separately, leaving the agent without usage direction.

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