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Crawlora MCP

apple_maps_autocomplete

Read-only

Apple Maps search typeahead: query, business and address suggestions for a partial query near a coordinate, with business suggestions resolved to place summaries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoDisplay language as a BCP 47 tag. Defaults to en-US.
spanNoViewport size in degrees around the center. Defaults to 0.05; minimum 0.001, maximum 5.
queryYesPartial search text to complete (required).
countryNoTwo-letter ISO 3166-1 country code. Defaults to US.
latitudeYesCenter latitude the suggestions are biased to (required).
longitudeYesCenter longitude the suggestions are biased to (required).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and reach profile. The description adds one useful behavioral detail beyond that: business suggestions are resolved to place summaries, which tells the agent what to expect in the result set. It does not describe limits, ranking, or empty-result behavior.

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?

A single dense sentence that leads with the identifying verb and resource and packs the input scope plus result-resolution note efficiently. It is slightly clause-heavy but wastes no sentences.

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?

Given an output schema exists, return values need not be explained, and the fully-covered input schema plus safety annotations carry much of the burden. The description supplies the typeahead intent and one output nuance, making it complete enough for correct invocation, though it could tie itself to a sibling more explicitly.

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 all six parameters (query, latitude, longitude, lang, country, span) are already documented in the schema with defaults and ranges. The description only restates the partial-query and coordinate-biasing intent, adding little semantic detail beyond the schema, so the baseline of 3 is appropriate.

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 verb (typeahead/autocomplete) and resource (Apple Maps search suggestions), and scopes it to a partial query near a coordinate. It implicitly distinguishes itself from the full search tool by emphasizing suggestions for partial input, but does not explicitly name apple_maps_search as the sibling to use for complete queries.

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 phrase 'for a partial query near a coordinate' implies when the tool applies (as-you-type completion), but there are no explicit when-to-use/when-not rules and no named alternative such as apple_maps_search or apple_maps_place. Guidance is inferable but not stated.

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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