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Darshan972

Scrapingdog MCP Server

by Darshan972

Google Patents API

google_patents

Search patent records and metadata, filter by type, status, dates, country, assignee, inventor, and more. Retrieve comprehensive patent information for research and analysis.

Instructions

Search patent records and metadata via Google Patents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numNoResults per page (1-100). (API default: 10)
pageNoZero-based page number. (API default: 0)
sortNoSort order.
typeNoFilter by type.
afterNoMin date as type:YYYYMMDD (type = priority|filing|publication).
queryYesSearch terms; separate multiple with semicolons.
beforeNoMax date as type:YYYYMMDD (type = priority|filing|publication).
statusNoFilter by status.
countryNoComma-separated country codes (e.g. WO,US).
scholarNoInclude Google Scholar results. (API default: false)
assigneeNoComma-separated assignee names.
inventorNoComma-separated inventor names.
languageNoComma-separated languages (e.g. ENGLISH,GERMAN).
Behavior1/5

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

With no annotations, the description carries full responsibility for behavioral disclosure, but it only says 'search,' revealing nothing about return format, pagination, filtering behavior, or limitations.

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, front-loaded sentence that efficiently communicates the core purpose without any wasted words or redundancy.

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

Completeness1/5

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

For a tool with 13 parameters, no annotations, and no output schema, this description is severely under-specified. It lacks any detail on return values, edge cases, or how to construct effective queries.

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?

The input schema covers all 13 parameters with individual descriptions, so the baseline is 3. The description adds no additional parameter meaning, but the schema is sufficient.

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 'Search patent records and metadata via Google Patents,' using a specific verb and resource. It distinguishes itself from siblings like google_search and google_scholar by focusing on patents.

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

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives. It mentions no exclusions, prerequisites, or contexts, leaving the agent without any decision-making information.

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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