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Get list tweets

get_list_tweets
Read-onlyIdempotent

Get the tweet timeline of an X list (tweets from its members), newest first. 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).
listIdYesNumeric list 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

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds a genuine behavioral trait not present in the structured fields: results are returned 'newest first' (ordering). It does not add anything on auth, rate limits, or truncation behavior, but the pagination note reinforces the cursor contract.

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, zero filler, with the core resource/scope statement front-loaded before the ordering and pagination facts. Every clause carries information and nothing is repeated from the schema.

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?

There is no output schema, but the format parameter's description explains the simple-vs-raw return shapes and token tradeoff, so return values are adequately covered. For a read tool with fully documented parameters the description is close to complete; only the lack of any explicit alternative-selection guidance keeps it from the top.

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 all five parameters (count, cursor, format, listId, max_chars) carry rich, self-contained descriptions including defaults, enums, and truncation semantics. The description adds no additional parameter meaning, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get the tweet timeline of an X list') and immediately disambiguates the resource with the parenthetical '(tweets from its members)'. This cleanly separates it from get_list_details and get_list_members, and from the user-scoped get_user_tweets, without needing to open any schema.

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 description: the agent infers it should call this when it wants tweets from a list's members. There is no explicit when-to-use statement, no guidance on choosing between this and search_tweets or get_user_tweets, and no stated prerequisites beyond the required listId shown in the schema.

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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