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DogPolicies

Search places (alias)

dogrulebook_search_places
Read-onlyIdempotent

Alias of dogpolicies_search_places, kept for older clients. Search parks, beaches, trails, hotels, campgrounds and cabin resorts in California and Nevada by name, location and dog rules.

Returns one page of places with a one-line answer ("Yes, on a leash no longer than 6 feet."), status (yes, yes_restricted, no, varies), verification date and page URL. Use dogpolicies_get_place for full rules and sources, and dogpolicies_find_hotels to check a specific dog's weight and budget at hotels.

Examples:

  • "Off-leash beaches near San Diego" -> type="beach", off_leash=true, near={lat:32.72, lon:-117.16}

  • "Can I bring my dog to Point Lobos?" -> query="Point Lobos"

  • "State parks in Marin County that allow dogs" -> type="park", county="Marin", dogs_allowed=true

  • "Lake Tahoe beaches in Nevada that allow dogs" -> type="beach", state="NV", dogs_allowed=true

  • "Off-leash dog parks in Las Vegas" -> type="park", off_leash=true, county="Clark", state="NV"

  • "RV parks in Fresno County that take dogs" -> type="campground", county="Fresno", dogs_allowed=true

  • "Dog-friendly cabins in June Lake" -> type="cabins", query="June Lake", dogs_allowed=true

  • "Restaurants with a dog-friendly patio in Alameda" -> type="restaurant", query="Alameda"

Input Schema

NameRequiredDescriptionDefault
areaNoArea id, the name a traveler gives the trip: san-francisco, east-bay, peninsula, south-bay, north-bay, lake-tahoe, big-sur, mendocino-coast, yosemite, death-valley
nearNoLimit to places near a point; results are sorted by distance
typeNoKind of place; campground covers campgrounds and RV parks (some also rent cabins), cabins covers cabin resorts with no campground, restaurant covers restaurants, cafes, bars, breweries and tasting rooms (dogs on the patio, by the owner's published policy)
limitNoMaximum results to return
queryNoWords to match in the name, city, county or brand
stateNo"CA" or "NV". Also tells apart counties with the same name, such as Humboldt.
countyNoCounty name without "County", in California or Nevada, e.g. "Monterey" or "Washoe"
offsetNoResults to skip, for pagination
regionNoRegion id, e.g. central-coast, san-diego or reno-tahoe-nevada
off_leashNotrue: only places where the managing agency allows dogs off leash, at least at some times
dogs_allowedNotrue: only places that allow dogs somewhere; false: only places that do not
response_formatNo'markdown' for readable text, 'json' for structured datamarkdown

Output Schema

NameRequiredDescriptionDefault
as_ofYesDate the data was built (YYYY-MM-DD)
countYes
totalYes
offsetYes
placesYes
licenseYes
has_moreYes
attribution_urlYes
attribution_textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered; the description adds real behavior beyond that: results are one page, each hit carries a one-line answer, a status in {yes, yes_restricted, no, varies}, a verification date and a page URL. It does not mention freshness cadence or what an empty result means, but the added context is substantive.

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 prose is front-loaded and tight, but eight example bullets is more than needed — several (San Diego beaches, Tahoe beaches, Las Vegas parks) demonstrate essentially the same filter-and-geography pattern, so the example block is padded relative to the information it conveys.

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 an output schema present the description need not restate return fields, yet it still summarizes the answer/status/verification shape usefully; params are fully documented in-schema and annotations cover the safety profile. The only gap is that it never says whether this alias and the canonical tool behave identically or which to prefer.

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 baseline is 3, but the worked examples add genuine meaning beyond the schema by showing how a natural-language ask maps onto parameter combinations (type=beach + off_leash=true + near, type=campground + county + dogs_allowed). It does not explain interplay like query vs area precedence or how offset/limit combine with near-distance sorting.

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?

Opens by naming the canonical tool it aliases and then states a specific verb+resource: searching parks, beaches, trails, hotels, campgrounds and cabin resorts across CA/NV by name, location and dog rules. It also distinguishes itself from dogpolicies_get_place and dogpolicies_find_hotels in the same paragraph, so an agent can route without opening schemas.

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?

Explicitly routes adjacent intents: dogpolicies_get_place for full rules/sources, dogpolicies_find_hotels for a specific dog's weight/budget. The 'alias ... kept for older clients' framing implies the canonical name is preferred but never states 'prefer dogpolicies_search_places', leaving a small ambiguity when both names are in scope.

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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