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Crawlora MCP

googlepatents_coverage

Read-only

Google Patents database coverage: grants and applications indexed per country per year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the agent knows this is a safe, open-world read. The description adds useful granularity about the returned data shape (per country, per year), but discloses nothing further about caching, refresh cadence, or size limits.

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

Conciseness4/5

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

A single front-loaded sentence that identifies the resource first and its contents second. No wasted words, though it is terse enough that it could have added one clause of usage context at little cost.

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?

An output schema exists, so the description need not enumerate return values, and with zero parameters and a read-only annotation profile there is little else the agent needs in order to call it. The missing piece is usage framing, which is scored separately.

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?

The tool takes zero parameters, so there is nothing for the description to clarify. The baseline of 4 applies; the description's mention of the country/year breakdown is a bonus rather than a parameter explanation.

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

Purpose4/5

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

The description names a specific resource (Google Patents database coverage) and precisely describes its contents: grants and applications indexed per country per year. This distinguishes it from siblings like googlepatents_search or googlepatents_detail, which retrieve individual patents rather than aggregate coverage statistics, though the distinction is left implicit.

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?

The description states what data the tool returns but gives no guidance on when to use it versus alternatives. It does not mention that this is a metadata/statistics endpoint to consult before searching, nor any scenario in which it should be preferred over googlepatents_search or googlepatents_recent.

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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