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Replies to a post on X

x-replies
Read-only

Replies to a post on X (Twitter) for AI agents: send the post's URL and get the replies as JSON: text, time, likes, reposts, replies, views and the author's handle. Up to 50 replies per call. Pay per call in stablecoins; replies you paid for but did not get are refunded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the post on x.com or twitter.com, e.g. https://x.com/NASA/status/1234567890
limitNonumber of replies wanted, 1 to 50 (default 10). A larger value is lowered to 50 and 0 or a negative one means the default; the quote follows the value used.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/non-idempotent/non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: a hard cap of 50 replies per call, a pay-per-call stablecoin cost model, and a refund guarantee for paid-but-undelivered replies. It does not mention auth/credential requirements, keeping it short of a 5.

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

Conciseness4/5

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

Two sentences, front-loaded with verb+resource, then output shape, cap, and billing terms. Each clause carries distinct information, though the sentence runs long with the billing/refund details packed in.

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 compensates by enumerating the returned fields (text, time, likes, reposts, replies, views, author handle), and it covers cost, cap, and refund behavior. Only caller-side prerequisites (credentials, error behavior) are left unstated.

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 coverage is 100%, so both parameters (url, limit) are already fully documented, including limit's clamp-at-50 and default-handling rules. The description only echoes 'up to 50 replies per call,' adding no syntax or format detail beyond the schema; baseline 3 is appropriate.

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: 'Replies to a post on X' plus the concrete input (post URL) and output (JSON with text, time, likes, reposts, replies, views, author handle). It is clearly distinct from generic siblings like 'twitter' or other comment-fetching tools, though it never names them explicitly.

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 'send the post's URL and get the replies' framing and the 50-per-call cap, but there is no explicit when-to-use/when-not guidance or reference to an alternative sibling (e.g. 'twitter' for other X data). Adequate but leaves routing to inference.

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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