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twitter-x-aio

Tweets and Replies by userId

get_user_userId_tweetsAndReplies

Receive all tweets and replies ordered by most recent. You can use the cursor and count to navigate around. Group: User. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoThe default count is 20. You can specify a custom one here.
cursorNoAt the end of the entries array you'll find two objects with the type TimelineTimelineCursor. There is one cursor to go up (Top) and one for going down (bottom) the list.
userIdYes
usernameNoIf you provide a username value it will automatically be picked and the userId is ignored

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates a read-like operation ('Receive') and provides navigation details, but it does not disclose other behavioral aspects such as response format, error handling, or authentication requirements. The mention of billing per call and group adds some context, but overall transparency is average for a simple fetch tool.

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

Conciseness5/5

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

The description is extremely concise, with two sentences covering the main function and navigation. It is front-loaded with the primary purpose and includes only essential extra details (Group, Billing). No wasted words or repetition, earning full marks for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple paginated fetch tool, the description gives the core functionality and navigation hints, but it does not explain the response structure (e.g., cursor objects in the entries array) or how to initiate pagination. The schema's cursor description fills some gaps, but the tool description itself lacks sufficient detail for an agent to fully understand the output and pagination workflow.

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?

The input schema covers 75% of parameters with descriptions (count, cursor, username), and the description summarizes cursor and count usage but does not add new meaning beyond what the schema provides. Since schema coverage is high, the baseline is 3, and the description offers no substantial additional semantic value.

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

Purpose4/5

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

The description clearly states the tool returns all tweets and replies ordered by most recent, and specifies the resource (tweets and replies) and action (receive). While it doesn't explicitly contrast with sibling tools like get_user_userId_tweets, the inclusion of 'replies' makes the purpose distinct enough. The description is concise and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving tweets and replies for a user, and mentions navigation via cursor and count, but it does not provide explicit guidance on when to choose this tool over alternatives or when not to use it. It lacks exclusions or direct references to sibling tools, so the guidance is only implicit.

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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