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Desearch-ai

Desearch MCP Server

Official

Get X User Replies

x-user-replies
Read-only

Fetch posts and replies from an X (Twitter) user, optionally filtered by a keyword query, to gather recent activity for research or monitoring.

Instructions

Fetch posts and replies by an X (Twitter) user, with an optional keyword query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userYesUsername of the user to search for, example: 'elonmusk'
countNoNumber of posts to retrieve (1-100).
queryNoAdvanced search query to filter this user's posts and replies.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the useful behavioral detail that both posts and replies are returned, but says nothing about pagination, rate limits, or result ordering.

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?

A single front-loaded sentence with no filler; the primary action and the optional qualifier are both stated immediately.

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 read-only, 3-parameter tool with no output schema this is minimally adequate, but it leaves the overlap with x-user-posts and x-post-replies unresolved and gives no hint about result volume or pagination behavior.

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 all three parameters are already documented. The description only restates the optional keyword query, adding no format, syntax, or default semantics beyond the schema, so the baseline of 3 applies.

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?

States a specific verb (Fetch) and resource (posts and replies by an X user), so the agent knows the operation. However, it does not differentiate itself from close siblings like x-user-posts, x-post-replies, or x-search, and the phrase 'posts and replies' blurs the boundary with x-user-posts.

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?

No when-to-use guidance is given. The mention of an 'optional keyword query' implies a filtered-search use case, but the description never says when to prefer this tool over x-user-posts, x-post-replies, or x-search.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.