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Garblesnarff

Google Maps MCP Server Enhanced

maps_solar

Get solar irradiance forecasts to evaluate solar power potential at campsites. Specify location, panel tilt, and azimuth for precise data.

Instructions

Get solar irradiance data for solar power planning at campsites

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYesLatitude coordinate
longitudeYesLongitude coordinate
tiltNoSolar panel tilt angle in degrees (0-90, default: optimal angle)
azimuthNoSolar panel azimuth angle in degrees (default: 180 for south)
forecast_daysNoNumber of forecast days (1-5, default: 1)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Get solar irradiance data', implying a read operation, but omits details about response format, units (e.g., W/m²), data granularity, or limitations (e.g., geographic coverage). This leaves the agent uncertain about the tool's behavior.

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, efficient sentence with no redundant or extraneous information. Every word contributes to stating the tool's purpose.

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?

The description lacks essential details for using the tool effectively, such as return format, units, API requirements, or examples. Given the number of parameters and absence of output schema, the description is incomplete for practical invocation.

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 has 100% description coverage, with each parameter clearly described (latitude, longitude, tilt, azimuth, forecast_days). The description adds no additional meaning beyond the schema, meeting the baseline of 3.

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 uses a specific verb 'Get' and resource 'solar irradiance data' and adds context 'for solar power planning at campsites'. It clearly distinguishes this tool from siblings like maps_weather or maps_air_quality.

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 does not provide any guidance on when to use this tool versus alternatives (e.g., maps_weather for general weather, maps_air_quality for air quality). It only states the tool's purpose without usage recommendations or exclusions.

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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