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pricebook.search

Read-only

Search the Australian supplier catalog — 930+ products from 24+ wholesalers (Reece, Bunnings, Middy's, Dulux, etc). Filter by trade, subcategory, or free-text search. Returns RRP and typical trade cost.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results. Default 50.
tradeNoFilter by trade.
searchNoFree-text search across product names, brands, SKUs, and descriptions.
supplierIdNoFilter by specific global supplier ID.
subcategoryNoFilter by subcategory (e.g. "Hot Water", "Cable & Wire", "Split Systems").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoTotal results
itemsNoList of {id, name, brand, sku, description, typicalCostPrice, typicalSellPrice, unit, category, subcategory, supplier} objects
subcategoriesNoAvailable subcategory filters

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint: true, and the description adds that it returns RRP and typical trade cost, providing concrete behavioral context beyond the annotation. No contradictions.

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 succinct sentences that front-load the purpose and scope. Every word adds value; no redundancy or unnecessary detail.

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?

With 5 parameters fully described, an output schema present, and a clear explanation of return values (RRP and typical trade cost), the description is complete for a search tool. It covers what the tool does, what it returns, and how to filter.

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 input schema already documents parameters well. The description adds minor context (e.g., 'Australian supplier catalog' and returned data) but does not significantly enhance parameter understanding beyond the schema.

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 clearly states the tool searches an Australian supplier catalog with specific details on product count and wholesalers. It distinguishes itself from sibling tools like pricebook.import by focusing on search, and uses specific verbs like 'Search' and 'Filter'.

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 description implies usage for searching the catalog but provides no guidance on when to use this tool versus alternatives (e.g., pricebook.import). No explicit when-not-to-use or comparisons with siblings.

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

A3.8/5.0
Disambiguation4/5

Most tools have distinct resource+action naming (e.g., leads.create, jobs.list), but some overlap exists in analytics tools (dashboard, detailed, financials) and workflow automations (process_lead vs google_ads_pipeline). Descriptions clarify purposes, so slight confusion is possible but limited.

Naming Consistency5/5

All tools follow a consistent `domain.action` pattern (e.g., leads.create, billing.status). No mixing of camelCase or snake_case. Even complex names like lifecycle.assess or scaling.readiness_score adhere to the convention.

Tool Count1/5

95 tools is far beyond typical well-scoped servers (3-15). While the server aims to cover an entire business management platform, this volume is overwhelming for an agent, making selection and memory difficult.

Completeness5/5

The tool surface is exceptionally comprehensive, covering formation, hiring, compliance, funding, leads, quotes, jobs, invoicing, payments, marketing, analytics, integrations, webhooks, workflows, and more. Almost no obvious gaps in the lifecycle of running a trade business.

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