get_post
Retrieve a specific tweet by its ID to access its full content and details directly from Twitter/X.
Instructions
Get a specific tweet by ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tweetId | Yes | The ID of the tweet to retrieve |
Retrieve a specific tweet by its ID to access its full content and details directly from Twitter/X.
Get a specific tweet by ID
| Name | Required | Description | Default |
|---|---|---|---|
| tweetId | Yes | The ID of the tweet to retrieve |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Get', which implies read-only, but it does not mention authentication, error behavior, rate limits, or response format. This is a minimal coverage for a tool with no annotation-based safety hints.
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 sentence that is front-loaded with the action and resource. It is minimal yet complete for the purpose, with no wasted words.
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?
This is a simple one-parameter tool, but with no output schema and no annotations, the description should at least hint at the return value or error cases. It does not, so the context is only partially complete.
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?
The schema fully describes the 'tweetId' parameter with a clear description, and the tool description adds no extra meaning. According to the high schema coverage (100%), the baseline score of 3 is appropriate.
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 ('Get') with a specific resource ('tweet') and a distinguishing qualifier ('by ID'). This clearly separates it from sibling tools like read_posts (likely listing), search_posts (searching), and create_post (creating).
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?
The description implies the tool is for retrieving one specific tweet by ID, which provides clear context for when to use it. However, it does not explicitly mention alternatives or exclusions, so it falls short of a 5.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/SarthakRay26/twitter-MCP'
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