Skip to main content
Glama
HappyMonkeyAI

OpenUKPublicDataMCP

police_street_crime_near

Retrieve street-level crime categories near a specific latitude and longitude in England and Wales.

Instructions

Street-level crime categories near a lat/lng (England and Wales, data.police.uk).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
limitNo
latitudeYes
longitudeYes

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 full burden for behavioral disclosure. It only states what data is returned, omitting information on side effects, rate limits, authentication needs, or whether it's read-only. The behavior is not transparent.

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, concisely worded sentence that front-loads the key action and scope. Every word serves a purpose with no fluff.

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?

Despite having 4 parameters (2 required) and 0% schema description coverage, the description addresses only the coordinate parameters. The output schema exists but the description doesn't mention return structure or any additional context needed for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions lat/lng as parameters but fails to clarify date format, limit meaning, or default behaviors. The description adds little semantic value beyond the schema's existence.

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 tool retrieves street-level crime categories near a lat/lng, specifying geographic scope (England and Wales) and data source (data.police.uk). The verb is implied, but the resource and context are well-defined. It distinguishes from unrelated sibling tools.

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?

No guidance on when to use this tool versus alternatives. No prerequisites, context, or when-not-to-use information is provided. The description lacks any usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/HappyMonkeyAI/OpenUKPublicDataMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server