ScrapeCreators MCP Server

Community Tweets

twitter_community_tweets

Fetch tweets from a Twitter/X Community by URL to collect post text, engagement metrics, timestamps, and author details for analysis.

Instructions

Fetches tweets posted within a Twitter/X Community by URL. Returns an array of tweets, each with id, full_text, view_count, favorite_count, retweet_count, reply_count, bookmark_count, quote_count, created_at, and source. Each tweet includes a user object with the author's name, screen_name, avatar, followers_count, and is_blue_verified status. Potentially consumes paid API credits; requires confirm=true. Read-like POST requests do not publish to social platforms.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "twitter_community_tweets"
  }
}

Input Schema

Name	Required	Description
`url`	Yes	Community URL
`account`	No	Named private ScrapeCreators account; selects credentials, not a remote account ID.
`confirm`	No	Must be true for the specific approved credit-consuming research call.

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.0.0Oct 2, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false, so the safety profile is partly covered. The description adds genuinely new behavioral context beyond annotations: paid credit consumption, the confirm=true gating, and the reassurance that the read-like POST does not publish to social platforms. It stops short of describing rate limits or pagination.

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?

Three sentences, front-loaded with purpose and input, followed by return fields and then the cost/confirm caveats. The return-field enumeration is long but justified because no output schema exists; nothing is redundant.

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 usefully enumerates the returned tweet and user fields, and it covers the credit/confirm constraints. It omits pagination limits and authentication expectations, which keeps it just short of fully complete for a paid API call.

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%, so all three parameters (url, account, confirm) are already documented in the schema. The description only reiterates the URL input and the confirm requirement, adding no syntax or format detail beyond the structured fields, so the baseline 3 applies.

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?

The description states a specific verb and resource ('fetches tweets posted within a Twitter/X Community by URL'), and the community-scoped qualifier distinguishes it from siblings like twitter_user_tweets and twitter_community without ambiguity. An agent can tell what it returns and where the input comes from.

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?

It gives a hard precondition ('requires confirm=true') and warns about credit consumption, which is useful usage context. However, it never states when to choose this over the sibling twitter_community or twitter_user_tweets, so selection guidance is only implied by the resource scope.

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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