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deng1986

chrome-bridge-mcp

by deng1986

extract_google_results

Extract structured organic search results from a Google search results page to save and analyze search data.

Instructions

Extract structured organic search results from a Google search results page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tabIdNoOptional Chrome tab id. Defaults to the first page tab.
maxResultsNoMaximum number of results to return.
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It states the core behavior but omits details like read-only nature, required permissions, or behavior when no results are present. For a straightforward extraction tool, this is a minimal but acceptable disclosure.

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 a single sentence with 10 words, no wasted language, and front-loads the action. Extremely concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description could explain what 'structured' results include (e.g., titles, links, snippets). It is adequate for a simple tool but leaves some ambiguity about the output format.

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?

Input schema coverage is 100% with descriptions for both parameters. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 verb 'extract' and the resource 'structured organic search results from a Google search results page'. It distinguishes from siblings like 'search_google_and_extract' which combines search and extraction, and 'google_search' which performs the search only.

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?

The description implies usage on an already loaded Google search results page, but does not explicitly contrast with sibling tools or provide when-to-use guidance. No alternatives or exclusions are mentioned.

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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