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ScrapeUnblocker

ScrapeUnblocker MCP Server

Official

Google search results

google_search

Run Google searches through ScrapeUnblocker to retrieve organic results as structured JSON, enabling URL discovery before fetching pages.

Instructions

Run a Google search through ScrapeUnblocker and return the organic results as structured JSON. Use this to discover URLs before fetching them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesThe search query.
proxy_countryNoOptional ISO country code to search from, e.g. 'US'.
pages_to_checkNoHow many result pages to collect (default 1).
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It adds useful context by mentioning ScrapeUnblocker as the execution path and 'organic results' as an output filter. However, it omits potential behavioral details like rate limits, pagination behavior, error responses, or any caveats about scraping Google.

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: the first states the action and output, the second states the use case. Every clause contributes value, and it is front-loaded with the core purpose. No redundancy or 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 what the tool does, how it does it, and when to use it. Since there is no output schema, it would benefit from specifying more about the returned JSON structure, but 'discover URLs' implies the key output. Given the simple parameter set and clear sibling relationship, this is largely complete but could be more detailed.

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?

All three parameters (keyword, proxy_country, pages_to_check) have complete schema descriptions (100% coverage), so the baseline is 3. The tool description adds no parameter-specific nuance, but it doesn't need to because the schema already explains them well.

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 states a specific action and resource: 'Run a Google search through ScrapeUnblocker and return the organic results as structured JSON.' It clearly distinguishes this from sibling tools (fetch_html, fetch_parsed) by emphasizing search results rather than page content.

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 line 'Use this to discover URLs before fetching them' gives clear usage context and positions this tool as a discovery step relative to fetch tools. It does not explicitly name alternatives or state when not to use, but the guidance is clear enough.

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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