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Tweet Retweeters

get_v2_Retweeters

Tweet Retweeters Group: Tweet. Billing per call: 1 Credits. Agents can pay per call ($0.01 via x402/MPP, no API key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
countNoNumber of results
cursorNoCursor for other results

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior3/5

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

Though there are no annotations, the description does disclose the billing and authorization model (per-call cost, x402/MPP, no API key) which is an important usage behavior. However, it omits other behavioral aspects such as whether this is a read-only action, what it returns, or any rate limits.

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

Conciseness2/5

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

The description is short but not well-structured: the first phrase 'Tweet Retweeters Group: Tweet' is nearly a tautology and the billing details are placed without any functional substance. It does not front-load the purpose of the tool.

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?

With no output schema and no annotations, the description needs to carry the operational context. It fails to state the basic purpose—fetching which users retweeted a tweet—and does not explain input expectations or result format. The billing info cannot compensate for missing essential behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides a description for `count` and `cursor` (67% coverage) but `id` has only an example. The tool description adds no meaning for the parameters, so the agent must rely on the schema and prior knowledge.

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

Purpose2/5

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

The description says 'Tweet Retweeters Group: Tweet.' but lacks a verb or explicit action (e.g., 'retrieve' or 'list'). It mostly restates the title and gives little help distinguishing it from siblings like get_v2_Favoriters or get_v2_Tweet.

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, no scenario context, and no prerequisites. An agent cannot tell from the description why this is better than get_v2_Favoriters or get_v2_Likes.

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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