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HappyMonkeyAI

OpenUKPublicDataMCP

met_office_site_forecast

Retrieve site-specific weather forecasts for any UK location using latitude and longitude coordinates.

Instructions

Met Office Weather DataHub site-specific forecast (optional MET_OFFICE_DATAHUB_API_KEY).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes
resolutionNohourly

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavioral traits. It mentions an optional API key, which is a configuration detail, but fails to disclose rate limits, data freshness, or whether the tool is read-only. The description provides minimal insight into side effects or prerequisites.

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

Conciseness3/5

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

The description is very concise, but it sacrifices informativeness. It is a single phrase without structure or elaboration. While conciseness is valued, here it results in under-specification, earning a middle score.

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 existence of an output schema, the description need not detail return values, but it still leaves gaps in usage context. For a tool with 3 parameters (2 required) and no schema descriptions, the description is incomplete, lacking guidance on parameter semantics and when to use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the tool description does not explain any of the three parameters (latitude, longitude, resolution). The description adds no meaning beyond the schema, leaving the agent without guidance on how to use the parameters.

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 clearly states the resource ('Met Office Weather DataHub site-specific forecast') and implies the action of retrieving a forecast. It distinguishes this tool from siblings, as no other tool in the list targets Met Office weather data. However, it could be more explicit about the kind of forecast (e.g., daily, hourly) and what is returned.

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?

There is no guidance on when to use this tool versus alternatives, such as other weather or data tools. The description mentions an optional API key but does not explain when it is needed or what happens without it.

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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