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Desearch-ai

Desearch MCP Server

Official

Get X Post Replies

x-post-replies
Read-only

Fetch replies to an X (Twitter) post by ID, and optionally filter them with a keyword query to analyze or monitor conversations.

Instructions

Fetch replies to an X (Twitter) post, with an optional keyword query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of posts to retrieve (1-100).
queryNoAdvanced search query to filter replies.
post_idYesThe ID of the post to fetch replies for.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.1/5.0
Behavior2/5

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 and reach profile is covered. The description adds essentially nothing beyond that: no pagination behavior, no ordering, no rate-limit or result-cap context, and no note that count caps at 100.

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 zero filler. The core action leads and the optional modifier trails it. Nothing can be trimmed without losing information.

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 tool with no output schema and full schema coverage, the description is barely sufficient. It leaves open the practical questions an agent faces: how many replies come back by default, whether results are paginated or ordered, and how the keyword query interacts with the fetched set.

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 schema already documents post_id, count (1-100), and the advanced query string. The description only restates the query parameter and adds no format, syntax, or default value detail, so the baseline 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?

The description states a specific verb and resource: 'Fetch replies to an X (Twitter) post.' That is unambiguous on its own. However, it does not distinguish this tool from close siblings such as x-user-replies (replies authored by a user) or x-search, so an agent must infer the boundary.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. The phrase 'with an optional keyword query' hints at filtering but never says when keyword filtering is preferable to a plain fetch or to using x-search for reply discovery.

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