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User Tweets & Replies

get_v2_UserTweetsAndReplies

User Tweets & Replies Group: User. Billing per call: 1 Credits. Agents can pay per call ($0.01 via x402/MPP, no API key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoUse the User By Screen Name endpoint to find the ID from a username.
countNoNumber of results
cursorNoCursor for other results

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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 does reveal the billing model (1 credit, $0.01 via x402/MPP, no API key), which is useful. However, it says nothing about whether the operation is read-only, how pagination works, what the response contains, or any rate-limit or auth behavior.

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 text is very short, but it dedicates most of its sentences to billing and repeats the title instead of explaining functionality. It is compact but not well-structured for an agent: the first sentence is tautological, and the only original content is payment-related.

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?

For a 3-parameter tool with no output schema and no annotations, this description is incomplete. It lacks usage context, response semantics, pagination behavior, and any clarification of the ambiguity between UserTweets and UserTweetsAndReplies. The schema covers parameter formats, but the description does not make the tool safely callable in context.

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%, so the baseline is 3. The description adds no parameter-specific meaning, but the schema already documents id, count, and cursor adequately, including a hint to resolve a username to an ID. The main gap is that no parameters are marked required, which the description does nothing to clarify.

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 repeats the tool title ('User Tweets & Replies') and adds only a coarse grouping ('Group: User') plus billing details. It never states what the tool does in verb+resource terms, nor does it differentiate this tool from the closely named sibling get_v2_UserTweets. The function is inferable only from the tool name and title, not the description.

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. It does not mention the sibling get_v2_UserTweets, the distinction between tweets-only and tweets-plus-replies, or any preconditions such as needing a user ID. An agent must infer usage entirely from the name and schema.

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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