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UK Postcode Intel

Flood Warnings

flood_warnings

Live Environment Agency flood alerts/warnings and nearby monitoring stations for a postcode in England.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "postcode": "<postcode>"
    },
    "name": "flood_warnings"
  }
}

Input Schema

NameRequiredDescriptionDefault
postcodeYesUK postcode (England coverage).
radius_kmNoSearch radius in km (default 5, max 50).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral context. It usefully discloses that the data is live, sourced from the Environment Agency, and limited to England, but it does not state read-only nature, rate limits, or other operational constraints.

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 definition is a single, front-loaded sentence with no wasted wording. It conveys purpose, source, and geographic scope efficiently.

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?

For a simple two-parameter lookup with an output schema, the description is largely complete. It covers purpose, data source, live nature, and geographic coverage, though it omits operational details such as authentication or rate limits.

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 description coverage is 100%, so both parameters are already documented. The description adds only that the postcode is for England and that monitoring stations are nearby, without explaining the radius parameter beyond what the schema provides.

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 a specific resource: live Environment Agency flood alerts/warnings and nearby monitoring stations for an England postcode. It is distinct from the sibling tools by topic, but it does not explicitly name or differentiate against any alternative.

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

Usage Guidelines3/5

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

The purpose implies when to use it: retrieving flood information for an England postcode. However, there is no explicit when-to-use guidance, exclusions, or naming of alternatives among the sibling tools.

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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