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RelayX — X/Twitter data

tweet_thread_context

Read-only

Return a post together with its ancestors and replies, so you can rebuild the whole conversation thread.

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

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, openWorldHint), and the description goes beyond them by disclosing pagination mechanics ('has_next_page + next_cursor; pass next_cursor as cursor') and a non-obvious credit cost model with a per-call minimum and a bulk waiver. These are real operational traits an agent needs, though it does not say whether hidden/deleted ancestors are excluded.

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?

Three short, front-loaded lines: purpose first, then pagination, then cost. No filler, and each line conveys distinct information.

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 and no parameter descriptions, the description compensates well by naming the returned pagination fields and the cost model. The main remaining gap is the shape of the thread payload (orders, nesting, inclusion of ancestors vs replies), but the description is sufficient for an agent to call it correctly.

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 0%, so the description must carry the burden. It does explain the cursor parameter's role ('pass next_cursor as cursor for more'), which is genuinely useful, but tweetId is left entirely unexplained – the agent must guess whether it takes a numeric ID, a URL, or a handle.

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 ('Return a post together with its ancestors and replies') and defines the scope as rebuilding a whole conversation thread. That scope implicitly separates it from siblings like tweet_replies, which return only the reply branch, though no sibling is named outright.

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?

The phrase 'so you can rebuild the whole conversation thread' implies the use case, but there is no explicit when-to-use or when-not-to-use guidance, nor any mention of the alternatives (tweet_replies, tweet_replies_v2, tweet_quotes) that overlap with this tool. The agent must infer selection from context.

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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