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Shops, health, transport and parks nearby

daily_needs
Read-onlyIdempotent

Everyday places near an address from OpenStreetMap, in five groups: groceries (supermarket, corner shop), health (doctor or GP, pharmacy, dentist, hospital), getting around (train, metro, tram, bus, EV charging), kids and family (playground, park, childcare, library, sports centre) and out and about (cafe, pub, restaurant, gym, dog park, golf, post office). For each: the nearest with miles, walk minutes and (for the key ones) drive minutes, and how many are within a 15 minute walk. Includes a 15 minute walk check out of 7 everyday needs. US and UK.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "daily_needs"
  }
}

Input Schema

NameRequiredDescriptionDefault
latNoLatitude in decimal degrees (use with lon instead of address).
lonNoLongitude in decimal degrees.
groupsNoDefault all five.
addressNoStreet address with town and ZIP or postcode, e.g. "7090 State Highway 80, Cooperstown, NY 13326" or "Ambleside LA22 9BB". Not needed when lat and lon are given.
countryNoOptional hint for the address lookup.
drive_minutesNoDefault true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld, non-destructive), so the bar is low, but the description still adds real behavioural content: the geographic coverage limits (US and UK), the shape of each result (nearest plus distance, walk and drive minutes, counts within 15 minutes) and the 7-need walk check. It stops short of saying how out-of-coverage or unresolvable addresses behave.

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 lead clause is well front-loaded, but the body is one long dense block with a heavy parenthetical enumeration and a partially redundant closing phrase ('how many are within a 15 minute walk' followed by 'Includes a 15 minute walk check out of 7 everyday needs'). It is information-rich but poorly structured rather than economical.

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?

With no output schema, the description correctly carries the burden of explaining return contents, which it does in reasonable detail for a six-parameter, zero-required tool. The remaining gap is error/empty-result behaviour and any call-cost or rate constraints, which are a minor omission rather than a blocker.

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 the schema already explains lat/lon vs address, the groups enum defaults and the drive_minutes flag; the description adds essentially no new parameter meaning beyond noting that drive minutes are supplied 'for the key ones'. Baseline 3 applies since the schema does the heavy lifting.

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?

States a specific verb and resource ('Everyday places near an address from OpenStreetMap') and then enumerates the exact five categories of POI returned, so an agent can distinguish it from siblings like schools_nearby, nearby_nature and area_profile without opening a schema.

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?

Usage is only implied by the content domain — nothing says when to pick this over area_profile, nearby_nature or home_buyer_report, nor what to do when an address is outside US/UK coverage. The 'US and UK' note is the only scoping constraint and reads as data coverage rather than guidance.

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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