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Search By Service And City

valet_search_by_service_and_city
Read-onlyIdempotent

Search valet operators by service slug plus city slug across all matching states. Use this when an agent has both a service slug and a city slug and wants a cross-state tier-then-name ranked list. Invalid service slugs surface the 9 canonical alternatives.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return; default 10, capped at 50
city_slugYesLowercase kebab-case city slug (e.g. 'austin', 'springfield'). May match multiple cities across states.
service_slugYesRequired canonical valet service slug. One of 9 values; call valet_list_services for the full set.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
_metaYesTOOL-11 ToS and attribution block
operatorsYesOperators offering service_slug in any city matching city_slug across all states. Empty array means no matches.
data_freshnessYesTOOL-10 freshness stamp

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value beyond annotations: cross-state scope, the tier-then-name ranking order, and notably the error handling for invalid service slugs ('surface the 9 canonical alternatives'). No contradiction with annotations.

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, all front-loaded: purpose, usage context, then error behavior. No filler or repetition of schema content. Each sentence earns its place, though the last sentence on invalid slugs could arguably be folded into a parameter note.

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?

Comprehensive for this tool: output schema covers return format, annotations cover the safe read/idempotent profile, and the description covers purpose, scope, ranking, and error behavior. Missing only explicit mention of pagination semantics, but the limit parameter and output schema already address results handling.

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 the schema fully documents all three parameters, including the enum values and a pointer to valet_list_services. The description adds minimal value beyond the schema—it echoes the two slugs and hints at the error behavior tied to service_slug, but does not materially extend parameter understanding. Baseline 3 is appropriate given the schema carries the load.

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?

States a specific verb+resource ('Search valet operators') with precise scoping ('by service slug plus city slug across all matching states'). The cross-state qualifier and 'tier-then-name ranked list' directly differentiate it from city-scoped tools like valet_find_operators_in_city, so an agent can distinguish it 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 states the trigger condition: 'Use this when an agent has both a service slug and a city slug and wants a cross-state tier-then-name ranked list.' It clearly conveys the context for selection but doesn't explicitly name sibling alternatives or state when NOT to use it, leaving some inference to the agent.

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.