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Twitter / X data for agents

twitter_user

Paid ($0.005). User — Twitter / X. Live data as JSON. Pay with x402 or an Authorization: Bearer bby_live_... credits key.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "twitter_user"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesRequired. Path parameter.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It does usefully reveal that the tool is paid, requires x402 or a credits-key bearer token, and returns live data as JSON. However, it does not disclose whether the operation is read-only, what fields are returned, or any rate-limiting or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and contains no filler: cost, resource, data format, and auth are each covered in compact fragments. It is not a full sentence and lacks a verb, but every piece of information earns its place.

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?

The tool has no output schema and sits among many closely related siblings, so the description needs to explain what user data is returned, what the id refers to, and when to pick this tool over alternatives. It only says 'User — Twitter / X' and 'Live data as JSON', which is not enough for an agent to invoke it confidently.

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?

Schema description coverage is 100% for the single id parameter, so the baseline is 3. The description adds nothing about what id should contain (e.g., numeric Twitter user ID) or how to discover it, but the schema already documents it as a required path parameter, so the description is not penalized heavily.

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 identifies the resource ('User — Twitter / X') and says the output is live JSON, but it never states an explicit action such as 'get', 'fetch', or 'look up'. The tool name and the required id parameter imply it returns user data, but the description itself is more of a label than a clear statement of purpose.

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?

There is no guidance about when to use this tool versus siblings like twitter_handle, twitter_user_followers, or twitter_user_tweets. The description mentions cost and payment method, but not the intended use case, prerequisites, or exclusions.

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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