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thenavidm

ScrapeCreators MCP Server

by thenavidm

Post

bluesky_post

Retrieve a Bluesky post's content, author details, engagement metrics, and threaded replies by URL. Confirmation required for credit-consuming calls.

Instructions

Fetches a single Bluesky post by URL, returning the post's record text, author info, embed content, replyCount, repostCount, likeCount, and quoteCount. Also includes a replies array with threaded reply posts. Potentially consumes paid API credits; requires confirm=true. Read-like POST requests do not publish to social platforms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesBluesky post URL
accountNoNamed private ScrapeCreators account; selects credentials, not a remote account ID.
confirmNoMust be true for the specific approved credit-consuming research call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations give the safety profile (readOnlyHint=false, openWorldHint=true, idempotentHint=false). The description adds genuinely useful context beyond them: it consumes paid API credits, requires confirm=true for the approved call, and reconciles the read-like nature with the readOnlyHint=false annotation by clarifying it does not publish to social platforms. No return cost/rate specifics, but strong added value.

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?

Front-loaded with what is fetched and returned, then trails with the credit/confirm constraints. Two sentences, no filler; only the redundant restatement of field names costs it a top mark.

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?

No output schema exists, so the description carries the return-value burden, and it does so explicitly (record text, author info, embed, counts, threaded replies). Combined with the credit/confirm disclosure, an agent has what it needs to call correctly; minor gaps remain on pagination of the replies array.

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 coverage is 100%, so url, account, and confirm are already documented in the schema. The description adds only the confirm=true prerequisite (which is also derivable from the schema) and no syntax or format details beyond it. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Fetches a single Bluesky post'), names the exact lookup key (by URL), and enumerates the returned fields. The singular 'post' clearly distinguishes it from sibling bluesky_posts (plural) without needing to open either 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?

Implied usage is clear from 'single post by URL,' and it surfaces a prerequisite (requires confirm=true), but it never states when to prefer this over bluesky_posts, bluesky_profile, or other single-post-fetch siblings, and names no exclusions.

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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