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dwain-barnes

MCP Server Police UK

by dwain-barnes

locate_neighbourhood

Find the neighbourhood policing team assigned to any location by supplying its latitude and longitude coordinates.

Instructions

Find the neighbourhood policing team for a given latitude and longitude

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude of the location
lngYesLongitude of the location

Implementation Reference

  • The handler function for 'locate_neighbourhood'. It extracts lat/lng arguments, builds a query parameter in the format 'lat,lng', and calls the police.uk API endpoint 'locate-neighbourhood'.
    async function locateNeighbourhood(args: any) {
      const { lat, lng } = args;
      const params = { q: `${lat},${lng}` };
      return await makeApiRequest('locate-neighbourhood', params) || {};
    }
  • Input schema definition for 'locate_neighbourhood'. Specifies two required parameters: lat (number) and lng (number).
    {
      name: 'locate_neighbourhood',
      description: 'Find the neighbourhood policing team for a given latitude and longitude',
      inputSchema: {
        type: 'object',
        properties: {
          lat: { type: 'number', description: 'Latitude of the location' },
          lng: { type: 'number', description: 'Longitude of the location' }
        },
        required: ['lat', 'lng']
      }
    },
  • src/index.ts:464-464 (registration)
    Registration of the locateNeighbourhood handler in the toolFunctions mapping, linking the tool name 'locate_neighbourhood' to the async handler function.
    locate_neighbourhood: locateNeighbourhood,
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as rate limits, authentication requirements, or whether results are cached or live. This leaves a significant transparency gap.

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 concise sentence with no redundant information. It is well front-loaded and to the point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity (2 params, no output schema), the description is adequate but could be improved by mentioning coordinate range constraints or output structure.

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 coverage is 100% with clear parameter descriptions. The tool description adds no new meaning beyond stating 'latitude and longitude', which is already in the schema. Baseline score of 3 applies.

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 states the action 'Find' and the resource 'neighbourhood policing team' using latitude and longitude. It distinguishes from siblings like 'get_neighbourhood_team' which requires a team ID.

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 description implies use when coordinates are available but does not explicitly state when to use this tool versus alternatives like 'get_neighbourhood_team' or 'get_neighbourhoods'.

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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