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hermoso-ai

Hermoso

Official

Fetch ScrapeCreators endpoint

scrapecreators_fetch
Read-only

Fetch raw data from social platforms including TikTok, Instagram, YouTube, and more using custom API paths. Provides direct access to endpoints not covered by dedicated search tools.

Instructions

Generic ScrapeCreators escape hatch for any ALLOWLISTED long-tail endpoint the dedicated search_* tools don't cover — e.g. {path:'/v1/instagram/profile', params:{handle:'nike'}}. Allowlisted platform families: TikTok (+ TikTok Shop), Instagram, YouTube, Facebook (organic profiles/posts/events/marketplace), LinkedIn (organic posts/companies), Twitter/X, Reddit, Threads, Snapchat, Pinterest, Twitch, Bluesky, Truth Social, Rumble, Spotify, SoundCloud, GitHub, Google search, link-in-bio pages (Linktree etc.). Param names vary per endpoint (profiles use handle, keyword searches use query, Reddit uses subreddit). WARNING: returns RAW provider JSON — large and messy; prefer the dedicated search_* tools. Spends ScrapeCreators credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesexact SC endpoint path, e.g. '/v1/tiktok/profile' — non-allowlisted paths are rejected
paramsNoendpoint query params, e.g. {handle:'nike'}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnlyHint, openWorldHint), the description warns about raw JSON output, credit consumption, and path validation. No contradiction with annotations.

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?

The description is well-structured with clear explanation, examples, and warnings. Slightly verbose but earns its sentences. Front-loaded with main purpose.

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?

Given complexity (generic endpoint with many possible endpoints) and presence of output schema, the description is complete: covers purpose, usage, parameters, behavior. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds meaning beyond schema: explains path is exact endpoint with examples, notes param name variations per endpoint. Schema coverage is 100%, so baseline is high, but description enriches with real-world usage guidance.

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 clearly states it is a generic escape hatch for allowlisted endpoints not covered by dedicated search_* tools, and gives concrete examples. This distinguishes it from siblings effectively.

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

Usage Guidelines5/5

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

Explicitly tells when to use (when dedicated tools don't cover the endpoint), lists allowlisted platform families, and warns to prefer search_* tools for better results. Provides clear decision criteria.

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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