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Get tweet quotes

get_tweet_quotes
Read-onlyIdempotent

Get tweets that quote a given tweet. Paginated.

Input Schema

NameRequiredDescriptionDefault
countNoHow many tweets to request per page (default 20). X may return slightly more or fewer.
cursorNoPagination cursor. Leave empty for the first page; pass the next_cursor from a previous result to get the next page.
formatNoResponse format (default simple). simple: compact JSON with flat camelCase tweets and users, about 60% fewer tokens. raw: X's full GraphQL JSON, only needed for fields simple leaves out (cards, polls, edit history, community notes).
tweetIdYesNumeric tweet ID.
max_charsNoMaximum characters of JSON to return (default 50000). Longer output is cut with a [TRUNCATED] marker. Lower it to save context, raise it if you need the full response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered. The one behavioral note, "Paginated," is useful but is already conveyed by the cursor parameter description, so the description adds little beyond structured data.

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?

Two short sentences, front-loaded with the purpose and followed by the one behavioral fact worth surfacing. There is no filler, restatement of the title, or redundant prose.

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?

For a read-only lookup tool with full annotations and a fully documented five-parameter schema, this is nearly complete; the response shape is described via the format parameter rather than an output schema. It could be slightly richer by noting ordering or that quote tweets embed the quoted tweet, but nothing essential is missing.

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% and every parameter (count, cursor, format, max_chars, tweetId) is thoroughly documented in-schema, so the baseline of 3 applies. The description contributes no additional parameter detail such as default page size or format trade-offs.

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: retrieving tweets that quote a given tweet, which cleanly separates it from siblings like get_tweet_retweets and get_tweet_favorites. It does not explicitly name or contrast an alternative, but the resource noun is 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?

Usage is only implied by the resource name — an agent can infer you call it when you want quote tweets of a specific tweet — but there is no explicit when/when-not framing, no mention of prerequisites (e.g. the tweet must exist/be public), and no routing to alternatives such as search_tweets.

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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