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mysleekdesigns

CrawlForge MCP Server

scrape_template

Read-onlyIdempotent

Extract structured data from popular websites using predefined templates. Pass a template ID and URL to get parsed results without custom selectors.

Instructions

Use this when you want structured data from a well-known site without writing custom selectors. Pass template:"list" to see all available templates. Supports: amazon-product, linkedin-profile, github-repo, youtube-video, tweet, reddit-thread, hacker-news-front-page, producthunt-launch, stackoverflow-question, npm-package. Example: scrape_template({template:"github-repo", url:"https://github.com/user/repo"})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoURL to scrape — required unless template is list
timeoutNoRequest timeout in milliseconds
templateYesTemplate ID (e.g. github-repo) or list to enumerate available templates
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive. The description adds value by explaining the template mechanism, the 'list' special value, and an example call. No contradictions 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences plus an example, all front-loaded and concise. Every sentence adds necessary information with no fluff.

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?

The description covers purpose, usage, supported templates, and an example. It lacks details on output format, but the structured nature of templates implies JSON. Given no output schema, it is reasonably complete.

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

Parameters4/5

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

With 100% schema coverage, baseline is 3. The description adds the special 'list' usage for the template parameter and provides an example, clarifying behavior beyond the schema.

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 the tool's purpose: getting structured data from well-known sites using templates, avoiding custom selectors. It lists specific template IDs, distinguishing it from siblings like 'scrape_structured' that may require custom selectors.

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

Usage Guidelines4/5

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

The description tells when to use it (structured data from well-known sites) and hints at listing templates with 'list'. While it doesn't explicitly exclude alternatives, the list of supported sites implies when not to use (non-listed sites). Sibling tools are present but not referenced.

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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