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Find Operators In City

valet_find_operators_in_city
Read-onlyIdempotent

List valet operators serving a city slug plus state slug, optionally narrowed by service. Use this when an agent has a city already disambiguated and wants its operator roster ranked by listing tier then name. Empty array if no listed operators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return; default 10, capped at 50
serviceNoOptional service narrowing. One of the 9 canonical valet service slugs. Omit to list every operator serving the city.
city_slugYesLowercase kebab-case city slug (e.g. 'houston', 'san-francisco')
state_slugYesLowercase kebab-case US state slug (e.g. 'tx', 'new-york')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaYesTOOL-11 ToS and attribution block
operatorsYesOperators serving the city, ranked tier:desc then name:asc. Empty array means no matches.
data_freshnessYesTOOL-10 freshness stamp

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive safety, so the bar is lower and the description clears it. It adds two genuinely useful behaviors not in the schema: results are ordered by listing tier then name, and the tool returns an empty array when no listed operators exist.

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?

Three short sentences each deliver distinct value: action and scope, when to use it and the ranking expectation, and the empty-array edge case. There is no filler, and the most decision-relevant content is front-loaded.

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 a full output schema and safety annotations present, the description covers the key selection context, the ranking behavior, and the no-result scenario without redundant return-type explanation. The only minor gap is not naming sibling tools for alternate scenarios, but the slug-based versus location-based distinction is adequately implied.

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 coverage is 100% with rich descriptions for all four parameters (slugs, enum service values, limit with min/max/default), so the schema already documents semantics. The description merely rephrases 'optionally narrowed by service' and 'city slug plus state slug' without adding new detail, meeting but not exceeding the baseline.

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?

The description opens with a specific verb 'List' and names an exact resource ('valet operators serving a city slug plus state slug'), immediately distinguishing it from sibling search/nearest/operator-detail tools. The optional service narrowing and the ranking-by-tier detail make the tool's scope unambiguous.

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?

It gives an explicit 'Use this when an agent has a city already disambiguated' condition, which clearly routes an agent to this tool after city resolution rather than to city-search or nearest-location tools. It does not explicitly name the alternatives to use in other cases, but the disambiguation condition is strong contextual 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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TDQS

A4.1/5.0
Disambiguation3/5

Some tools overlap in purpose: valet_find_nearest_operators and valet_find_operators_near both use coordinates and return nearby operators, while valet_find_operators_in_city and valet_search_by_service_and_city have similar city+service semantics. The descriptions help distinguish them, but an agent must read carefully to pick the right one.

Naming Consistency4/5

All tools use the valet_ prefix and snake_case, so the naming family is recognizable and mostly verb-led. Minor deviations like valet_find_operators_near versus valet_find_nearest_operators and the longer valet_search_by_service_and_city make it slightly less predictable.

Tool Count5/5

8 tools is well-scoped for a valet directory server: city lookup, service lookup, operator searches, profile retrieval, and quote submission. Each tool earns a distinct place in the workflow without bloat or dead weight.

Completeness4/5

The toolkit covers the core workflow end-to-end: resolve cities, search operators by city/coordinate/service, get full profiles, validate service slugs, and request a quote. Obvious minor gaps are operator name search and any quote management/update operation, but the primary directory flow is complete.