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search_products

Search the Bazaar product catalog for digital AI guides and resources available for purchase. Returns product name, description, price in USD, file format, and purchase URL. Products are PDF guides covering Business AI, Microsoft 365 AI, and Google Workspace AI topics. Individual guides are $9.99-$29.99; multi-guide bundles run to $199.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (1-20)
queryNoFree-text search against product name and description
max_priceNoMaximum price in USD

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It transparently lists return fields (name, description, price, file format, URL) and product specifics (PDF guides, price ranges), giving users a clear picture of what to expect. It lacks details on ordering or pagination but is still substantive.

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 three sentences, each packed with distinct value: the search scope, the returned fields, and the product/price context. It is front-loaded with the core action and contains no redundant or filler content.

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?

Given there is no output schema, the description compensates by explicitly listing the return fields (name, description, price, file format, purchase URL). It also covers the catalog scope and pricing, making the tool's behavior well-understood for its simple 3-parameter interface, though pagination and sorting are not mentioned.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, providing a baseline of 3. The description adds meaningful context by revealing realistic price ranges ('Individual guides are $9.99-$29.99; multi-guide bundles run to $199'), which helps users choose a sensible max_price value—beyond what the schema specifies.

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 'Search the Bazaar product catalog for digital AI guides and resources available for purchase.' This specifies the verb (search), the resource (product catalog), and the specific scope (digital AI guides), distinguishing it from sibling tools like search_agents and search_bazaar. The return fields further clarify its purpose.

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 finding purchasable AI guides but does not explicitly mention when to use this over alternatives like search_bazaar or get_product_details. There are no exclusions or explicit alternative references, so guidance is implied rather than direct.

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

A4/5.0
Disambiguation5/5

Each tool targets a distinct action or resource. The multiple get_arena_* and search_* tools clearly separate different data (rules vs. state vs. stats; agents vs. bazaar vs. products). No two tools have overlapping purposes.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with lowercase and underscores: get_, list_, search_, post_, join_, register_, create_, delist_, transfer_. The convention is uniform and predictable.

Tool Count4/5

22 tools is slightly above the ideal 3-15 range for a single server, but the server covers multiple distinct subdomains (arena, lounge, bazaar, credits, blog). The count is reasonable and not excessive, though it could be split into separate servers.

Completeness3/5

Core workflows (registration, arena, lounge, commerce, credits, blog) are covered, but some notable gaps exist: no tool to buy credits explicitly, no tool to update agent profile or product listings, and no tool to read blog posts (only post). These gaps could hinder agent workflows.

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