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RelayX — X/Twitter data

tweet_replies

Read-only

Page through the direct replies to a post.

Replies in the conversation under tweetId.

Paged: returns has_next_page + next_cursor; pass next_cursor as cursor for more.

Credits: 13 per tweet returned (min 15 per call, waived on bulk).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cursorNo
tweetIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so the safety profile is already covered. The description goes beyond that with two genuinely useful traits not in structured fields: the pagination contract (returns has_next_page and next_cursor, pass next_cursor as cursor) and the credit cost model (13 per tweet, minimum 15 per call, waived on bulk). It does not mention auth or rate limiting, but the cost disclosure is substantive added value.

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?

Four short lines with zero filler; the core action and scope come first, followed by pagination mechanics and cost. Every line carries distinct information an agent needs.

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

Completeness4/5

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

With no output schema, the description partially covers returns by naming has_next_page and next_cursor, and it covers scope and credits. It does not describe the reply objects themselves (fields, whether nested replies are included), which is the main remaining gap for a no-output-schema tool.

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

Parameters4/5

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

Schema description coverage is 0%, so the description carries the full burden for the two parameters. It handles cursor well by explaining the round-trip ('pass next_cursor as cursor'), and tweetId is identified as the post whose replies are fetched. It still omits any ID format or validity expectations, so it is good but not complete compensation.

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 and resource: 'Page through the direct replies to a post.' The scope ('direct replies', 'under tweetId') is precise, and an agent can infer this is a reply-listing tool. However, it never acknowledges the sibling tweet_replies_v2 or explains how the two differ, which is a real risk given the near-identical names.

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?

Usage is implied by the phrase 'direct replies' and the tweetId requirement, giving the agent a reasonable sense of when the tool applies. But there is no explicit when-to-use/when-not guidance and no routing to alternatives such as tweet_replies_v2 or tweet_thread_context, which is exactly what an agent needs here.

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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