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thenavidm

ScrapeCreators MCP Server

by thenavidm

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threads_profile

Retrieve a Threads user's public profile data, including bio, follower count, verification, profile pictures, and links. Provide a handle and confirm paid API calls.

Instructions

Retrieves a Threads user's public profile including username, full_name, biography, profile_pic_url, follower_count, is_verified, bio_links, and hd_profile_pic_versions. Also indicates whether the account is a threads-only user via is_threads_only_user. Potentially consumes paid API credits; requires confirm=true. Read-like POST requests do not publish to social platforms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handleYesThreads username
accountNoNamed private ScrapeCreators account; selects credentials, not a remote account ID.
confirmNoMust be true for the specific approved credit-consuming research call.
cache_max_ageNoIf we have a response in the cache that is this many days old or newer, return the cached response (0 credits, with "cached": true and a "cached_at" timestamp). Otherwise, scrape a live result (1 credit). [See the Caching page for details.](https://docs.scrapecreators.com/caching)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A4.1/5.0
Behavior5/5

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

Annotations declare readOnlyHint=false and idempotentHint=false, which could mislead an agent; the description preempts that by explaining these are read-like POST requests that do not publish to social platforms. It also discloses credit consumption, the confirm=true gate, and cache-vs-live behavior, all beyond what annotations provide.

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?

Two dense sentences: the field list first, then the cost/safety caveats. Nothing is wasted, though the long field enumeration is slightly list-heavy for a description.

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 what is returned (username, follower_count, is_verified, bio_links, etc.), and covers the credit/confirm constraints. It stops short of describing error or empty-profile behavior, but is otherwise sufficient for the 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 handle, account, confirm, and cache_max_age are already fully documented in the schema, including the enum and caching semantics. The description adds no parameter-level detail, 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?

States a specific verb+resource ('Retrieves a Threads user's public profile') and enumerates the returned fields, which cleanly distinguishes it from siblings like threads_search_users or threads_posts. An agent knows exactly what this returns without opening a 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?

It gives preconditions (requires confirm=true, consumes paid credits) but never states when to choose this over alternatives such as threads_search_users, which also take a handle-ish query. Usage is implied through the credit/confirm constraint rather than routed explicitly.

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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