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verify_gis_sources

Checks health and response times of GIS data sources like Open-Meteo, Overpass, and Natural England, reporting status and metadata before you rely on GIS results.

Instructions

Health check for GIS data sources. Pings each upstream provider or dataset endpoint (Open-Meteo, Overpass, NESO TEC register, Natural England protected areas, EEA Natura 2000, CORINE Land Cover, Natural England ALC, Environment Agency Flood Map, PVGIS) and reports status, response time, and source metadata. Use before relying on GIS tool results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_idNoCheck a single source by ID (e.g. "natural-england"). Omit to check all GIS sources.
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It transparently describes the operation (pings endpoints), the outputs (status, response time, source metadata), and lists all sources covered. It could mention potential slowness or error handling, but the core behavior is well disclosed.

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 two concise sentences, front-loaded with the main purpose, followed by a valuable list of sources and a usage directive. Every sentence earns its place without filler.

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?

The description covers the tool's purpose, sources, output content, and usage timing. Since there is no output schema, it effectively tells the agent what to expect. It is slightly ambiguous whether results are aggregated, but it is adequate for a health-check tool.

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 schema covers 100% of the parameter descriptions, including the optional source_id, an example value, and behavior when omitted. The description text adds no additional parameter semantics 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 identifies the tool as a health check for GIS data sources, listing the specific providers and endpoints it covers. The verb 'verify' and the explicit actions ('pings', 'reports status, response time, and source metadata') distinguish it from sibling data retrieval tools.

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

Usage Guidelines4/5

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

The description provides explicit usage context: 'Use before relying on GIS tool results.' This clearly signals when to invoke the tool. However, it does not explicitly mention alternatives or when not to use it, which would earn a 5.

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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