SafeStreets

find_walkable_neighborhoods

Read-onlyIdempotent

Neighborhoods inside a US city, ranked most walkable first, precomputed.

Use this for "which part of Chicago should I live in without a car". Returns up to 25 neighborhoods, each with its 0-10 score, tier and components. Covers 749 neighborhoods across the cities analysed so far, so an empty list means that city has not been broken down yet, not that it has no walkable areas.

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": {
      "city": "<city>"
    },
    "name": "find_walkable_neighborhoods"
  }
}

Input Schema

Name	Required	Description	Default
`city`	Yes	City name or slug, e.g. "Chicago".
`limit`	No	How many to return, default 25.

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 22, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already carry readOnly/idempotent/non-destructive, and the description adds genuinely new behavior: results are precomputed, capped at 25, and an empty list signals missing city coverage rather than zero walkable areas. That coverage caveat is the kind of thing an agent would otherwise misread.

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

Conciseness4/5

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

Three sentences, front-loaded with the ranked-precomputed framing before the example and the coverage caveat. The opening phrase overlaps with the title but nothing is padded.

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

Completeness5/5

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

With no output schema, the description still discloses the return shape (score, tier, components, up to 25 items), the data coverage boundary, and the empty-result interpretation. An agent has everything needed to call it and read the response correctly.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, and the description goes beyond it by tying the city parameter to the 749-neighborhood corpus and explaining what an unmatched city yields. The limit parameter's default and cap are left entirely to the schema.

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?

States a specific resource and scope: precomputed neighborhood-level walkability inside a US city, ranked descending. That separates it from get_city_walkability (city level) without naming the sibling, so the differentiation is inferable but not explicit.

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

Usage Guidelines4/5

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

Gives a concrete triggering question ("which part of Chicago should I live in without a car") that maps directly onto the tool's job. It adds an important edge-case rule for empty results, but never names an alternative tool or says when not to use this one.

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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