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thenavidm

ScrapeCreators MCP Server

by thenavidm

Comments

facebook_comments

Fetch comments from a Facebook post or reel with cursor-based pagination, including author details and reaction counts. Use feedback_id to reduce request time; paid calls require confirm=true.

Instructions

Fetches comments from a Facebook post or reel with cursor-based pagination. Each comment includes id, text, created_at, reply_count, reaction_count, and author details with name and profile_picture. Passing a feedback_id instead of a url significantly speeds up the request. Potentially consumes paid API credits; requires confirm=true. Read-like POST requests do not publish to social platforms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoFacebook post URL (or reel URL)
cursorNoCursor to get more comments. Get 'cursor' from previous response.
accountNoNamed private ScrapeCreators account; selects credentials, not a remote account ID.
confirmNoMust be true for the specific approved credit-consuming research call.
feedback_idNoUsing feedback_id (instead of url) will *really* speed up the request. You can get the feedback_id when you make a request to /v1/facebook/post.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the annotations: warns it may consume paid API credits, requires confirm=true, and explains that the read-like POST does not publish to social platforms. This also reconciles the readOnlyHint=false annotation with the fact that it is effectively a read operation.

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?

Front-loads purpose, then return fields, then the performance tip, then cost/safety. Four tight sentences, each carrying distinct information with no filler.

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?

With no output schema, spelling out the returned fields (id, text, created_at, reply_count, reaction_count, author name/profile_picture) is valuable, and the credit/confirm/side-effect notes cover the operational risks. Nothing needed to call it correctly 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%, so all five parameters are already documented (including feedback_id's speed benefit and the cursor). The description only lightly reinforces feedback_id-vs-url and pagination, adding no meaning the schema lacks. 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?

States a specific verb (Fetches) and resource (comments from a Facebook post or reel), and pins the scope with 'cursor-based pagination'. An agent can distinguish it from facebook_comment_replies (top-level vs replies) and from instagram/tiktok comment tools by the platform/resource pairing.

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?

Offers a useful in-tool tip (pass feedback_id instead of url to speed up) and cursor-based continuation, but never states when to choose this over siblings like facebook_comment_replies, nor any when-not conditions. Usage is implied rather than routed.

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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