x_PostTweet
Post tweets to X (Twitter) via the X API v2 to share updates directly from your application.
Instructions
Post a tweet using the X API
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tweet_content | Yes | Content of the tweet |
Post tweets to X (Twitter) via the X API v2 to share updates directly from your application.
Post a tweet using the X API
| Name | Required | Description | Default |
|---|---|---|---|
| tweet_content | Yes | Content of the tweet |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral disclosure burden. It only states the action itself ('Post a tweet') without mentioning rate limits, error behavior, or whether authentication is required.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no redundant information. It is appropriately brief for a tool with one parameter.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description should explain what the tool returns or other operational details, but it does not. However, for a simple one-parameter tool, the description is minimally adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% (tweet_content is described as 'Content of the tweet'), so the baseline is 3. The description adds no additional parameter semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Post') and resource ('a tweet') clearly indicating the action. With no sibling tools, it fully distinguishes the tool's purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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, prerequisites (e.g., authentication), or context. There are no alternatives mentioned, so the agent has no information about suitable scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Lyonsupernova/mcp-x'
If you have feedback or need assistance with the MCP directory API, please join our Discord server