Skip to main content
Glama

Search Businesses

search_businesses
Read-onlyIdempotent

Find registered businesses by search term and optional location; returns matches with their slugs. Call it before the business-specific tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchYesSearch term — matched against business name, description, services, and category
locationNoOptional location filter (city, state, or region). Narrows results geographically.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds useful behavioral context beyond that: it returns slugs, operates on 'registered businesses,' and is intended as a prerequisite step. No contradictions 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The core action and conditional are front-loaded, and the usage direction is appended in a short, imperative second sentence. Every word contributes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description, combined with the full parameter schema and safety annotations, covers what the tool does, what it returns, and when to call it. Since an output schema exists, return value details are already structured. Nothing essential is missing for an agent to invoke this tool correctly.

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% — both 'search' and 'location' already have descriptive text explaining matching and geographic narrowing. The description only restates 'search term and optional location' without adding format, syntax, or examples beyond the schema, so the baseline 3 is appropriate.

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 states a specific verb and resource ('Find registered businesses') and adds what it returns ('matches with their slugs'). It clearly distinguishes itself from the business-specific sibling tools by positioning itself as the lookup step, not the action tool.

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?

The instruction 'Call it before the business-specific tools' gives explicit when-to-use context and names the alternative category (the sibling tools). It stops short of giving an explicit when-not-to-use scenario, such as 'if you already have a slug, skip this tool,' so it does not fully meet the 5-level bar.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: searching, quoting, reserving, confirming, payment handoff, callback, subscription, and business queries. Even related tools like reserve_slot and confirm_booking have clearly separated roles (holding vs. claiming). No overlapping purposes or ambiguous boundaries.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., search_businesses, get_quote, reserve_slot, confirm_booking). The verbs are varied but each is intuitive and fits the action. There are no mixed naming conventions or vague verb choices.

Tool Count5/5

13 tools cover the core booking and business-intelligence workflow without redundancy. The scope is well-defined—discovery, pricing, reservation, confirmation, payment, handoff, and subscription—so each tool earns its place. Not too thin, not overloaded.

Completeness3/5

The surface covers search, pricing, reservation, confirmation, payment, and handoff, but missing explicit cancellation or modification tools for bookings. A user asking to cancel a reservation would have no direct tool; get_cancellation_policy only provides text. Also no way to list a customer's existing bookings. This leaves notable gaps for a booking-focused server.