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TweetAPI MCP

TweetAPI MCP

Official

Get Follower IDs

tweetapi_user_followers_ids
Read-onlyIdempotent

Fetch paginated follower user IDs for a numeric user ID, excluding profiles, to walk large follower graphs with cursor-based pagination and per-call cost estimates.

Instructions

Fetch one page of follower user IDs (strings only, no profiles) for a user ID. Cheapest way to walk a large follower graph. Read-only. Needs a TweetAPI API key and makes one TweetAPI request per call, usually costing 1 unit; each result includes a cost estimate. Returns one page: to get the next one, call again with cursor set to this result's completeness.nextCursor.

Input Schema

NameRequiredDescriptionDefault
countNoPage size from 1 to 500. Omit it for the default.
cursorNocompleteness.nextCursor from the previous page. Omit it for the first page.
userIdYesNumeric user ID. This tool does not look up usernames; call tweetapi_user_by_username first if you only have a username or profile link.

Output Schema

NameRequiredDescriptionDefault
costYes
modeYes
toolYes
noticeYes
outputYes
resultYes
endpointYes
usageDocsNo
paginationNoPagination exactly as TweetAPI returned it.
statusCodeYes
retrievedAtYesWhen the MCP server received this response (ISO 8601). Not the post or profile date, and not a promise that X's data was fresh at that moment.
completenessYes
resolvedInputNoIdentifiers the MCP server parsed from links or @handles before calling TweetAPI.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.3.3
    • addedInput schema / properties / count / description
      Added value: +"Page size from 1 to 500. Omit it for the default."
    • addedInput schema / properties / cursor / description
      Added value: +"completeness.nextCursor from the previous page. Omit it for the first page."
  2. Addedv0.2.1

TDQS

A4/5.0
Behavior3/5

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

The 'Read-only' claim is consistent with readOnlyHint=true and destructiveHint=false, so no contradiction. Beyond the annotations it adds real context: API key required, one request per call, roughly 1 unit of cost with a cost estimate in each result, and a page-by-page continuation model. That is useful, but return-shape detail is largely delegated to the output schema.

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 sentences with no filler: what it returns, why to pick it, cost/auth profile, and how to paginate. The payload constraint and the cheapness claim are front-loaded where an agent will read them first.

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

Completeness5/5

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

For a three-parameter paginated read with a full output schema, everything an agent needs is present: auth requirement, cost model, single-request semantics, and the next-page procedure. Return values correctly are not duplicated in prose because the output schema covers them.

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 coverage is 100%, so the baseline is 3, and the description adds the paging contract by tying the input cursor to this result's completeness.nextCursor, making the loop explicit. It says nothing about the count ceiling or the username-lookup prerequisite, both of which live only in the schema.

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 concrete verb and resource (fetch follower user IDs for a user ID) and immediately delimits the payload as 'strings only, no profiles', which separates it from the profile-returning followers siblings. It does not name any sibling tool explicitly, so the differentiation is inferential rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Cheapest way to walk a large follower graph' gives a clear selection criterion and the pagination instruction explains the continuation loop. It stops short of an explicit exclusion such as 'use tweetapi_user_followers_list when you need profiles', leaving the agent to infer the alternative from what is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.