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Search services

search_services
Read-only

Ranks up to five services in one published Kirah business catalog against a short free-text query. Returns catalog-grounded candidate identifiers, names, scores and match evidence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
tenantYesThe tenant to operate on: the provider.tenant_slug value from the tenant's /.well-known/kirah.json manifest (the tenant's full domain, e.g. <slug>.kirah.ai).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint false. The description adds meaningful behavioral context: the ranking cap of five results, catalog grounding, and the exact return payload (identifiers, names, scores, match evidence). This goes beyond the annotations and sets clear expectations.

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?

The description is two tight sentences with no filler. It front-loads the core purpose and limitation, then lists the return contents. Every sentence adds value without repeating schema details.

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?

For a simple read-only search tool with an output schema and annotations covering safety, the description covers scope, ranking limit, and return payload. The only notable gap is the absence of explicit guidance on when to prefer this tool over sibling tools.

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?

The tenant parameter is already well documented in the schema, and the description adds only modest meaning for the query parameter by calling it 'short free-text query' and tying it to ranking. With 50% schema description coverage, the description partially compensates but does not fully explain parameter semantics 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 description identifies a specific action — ranking services against a free-text query — and names the resource (services in one published Kirah business catalog) and output components. It is clear and specific, though it does not explicitly distinguish itself from sibling search/list tools.

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 tool's use case is implied through the phrasing 'ranks up to five services against a short free-text query,' which suggests free-text discovery rather than listing or availability checks. However, there is no explicit when-to-use/when-not-to-use guidance or mention of alternatives like list_services, find_available_services, or search_businesses.

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
Disambiguation4/5

Each booking lifecycle tool is clearly distinct, and the search/availability tools are generally separated by scope. The closest pair is find_available_services and get_availability, but their descriptions sufficiently distinguish cross-business availability checks from per-service calendar lookups.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern, such as create_booking, get_availability, list_services, and reschedule_booking. The verbs are predictable and communicate the action clearly.

Tool Count5/5

Ten tools is a well-scoped size for a local services booking server. Each tool addresses a distinct part of the workflow without unnecessary redundancy or bloat.

Completeness4/5

The tool set covers the core booking journey: discovery, availability, booking creation, status checks, rescheduling, and cancellation. A minor gap is the lack of a list-bookings endpoint, though payment is explicitly handled outside MCP, so core functionality remains intact.

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