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garylab

Serper MCP Server

by garylab

google_search_patents

Search Google for patents using natural language queries. Control result count and page to focus patent research.

Instructions

Search Google for results

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesThe query to search for
numNoThe number of results to return, max is 100 (integer value as string)10
pageNoThe page number to return, first page is 1 (integer value as string)1
Behavior2/5

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

No annotations provided. The description does not disclose any behavioral traits beyond a generic search. No mention of scoping, limitations, or output behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

Extremely short but lacks essential detail. Conciseness is not beneficial when it omits critical context (e.g., that it searches patents).

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

Completeness2/5

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

Given the complexity of patent search and many sibling tools, the description fails to provide enough information for an agent to understand what the tool does. No output schema, so missing return value info.

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?

Schema covers 100% of parameters with descriptions. The description adds no extra meaning, but schema already handles parameter semantics adequately. Baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description is 'Search Google for results' which is generic and does not specify patents. The tool name indicates patents, but the description could apply to any search, failing to distinguish from siblings.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like google_search or google_search_scholar. The description provides no context for selection.

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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