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Get hotel brand pet policy

dogpolicies_get_brand_policy
Read-onlyIdempotent

A hotel chain's published pet policy: pets per room, weight limit, fee, rules, listed exceptions and how many California and Nevada properties carry it.

Brands covered: Best Western (best-western), Extended Stay America (extended-stay-america), Kimpton Hotels (kimpton), La Quinta by Wyndham (la-quinta), Motel 6 (motel-6), Red Roof Inn (red-roof). Example: brand="red-roof" or brand="Kimpton".

Input Schema

NameRequiredDescriptionDefault
brandYesBrand id or name
response_formatNo'markdown' for readable text, 'json' for structured datamarkdown

Output Schema

NameRequiredDescriptionDefault
idYes
urlYes
nameYes
as_ofYesDate the data was built (YYYY-MM-DD)
factsYes
answerYes
licenseYes
not_statedYesExpected facts the sources do not state; never guess these
source_urlsYes
verified_atYes
attribution_urlYes
attribution_textYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine context the annotations don't: what content the policy contains (limits, fees, exceptions) and the added dimension of California/Nevada property counts. It omits what happens for an unrecognized brand, which keeps it from a 5.

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?

Two compact blocks: the return payload first, then the accepted inputs. Every element earns its place, and the enumerated brand list directly reduces lookup failures rather than padding the text.

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 needn't explain return structure, and it still summarizes payload contents well. The only real gap is behavior for a brand outside the six listed chains — an agent can't tell whether that errors or fuzzy-matches.

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, but the description earns more by listing the exact accepted brand values and showing that both slug ('red-roof') and display-name ('Kimpton') forms work — detail the schema's 'Brand id or name' does not resolve on its own.

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 first sentence names the resource precisely (a hotel chain's published pet policy) and enumerates the fields returned: pets per room, weight limit, fee, rules, exceptions, and CA/NV property counts. The brand-level scope is clear enough to separate it from property-level siblings like dogpolicies_get_place, though no sibling is named explicitly.

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 implied by the brand-level framing and the enumerated brand list, so an agent can infer 'use this for chain-wide policy'. However, there is no explicit when-to-use/when-not statement and no routing to alternatives such as dogpolicies_get_place for a specific property or dogpolicies_get_rule for a regulation.

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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