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Oakferry Agents

Search products

search_products
Read-onlyIdempotent

Find products matching a person's constraints. Put hard requirements in the filters (platform, max_price, free, no_subscription, attributes) and the rest in query. Each result says why it matched. Call list_attributes to see filterable keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
freeNoOnly products with a free offer
limitNo
queryNoWhat the person wants, in their words
categoryNo
platformNoiOS, Android, Web, ...
max_priceNoMost the cheapest way in may cost; 0 = free to start
attributesNoExact attribute matches, e.g. {"offline": true}
no_subscriptionNoOnly products usable without a subscription

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds useful return-format context ("Each result says why it matched"), which goes beyond what the annotations provide.

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?

Three tightly written sentences, front-loaded with the core purpose, followed by parameter-allocation guidance and a cross-reference. No filler; every sentence earns its place.

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 an 8-parameter, nested-object, no-output-schema search tool, the description covers how to route inputs and vaguely what results contain. It could say more about the result payload (e.g., pagination or fields), but it is adequate for correct invocation.

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 75%, so the schema already documents most parameters. The description adds genuine semantic value by partitioning parameters into hard-requirement filters (platform, max_price, free, no_subscription, attributes) versus free-text query, guiding allocation between them beyond the schema text.

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?

States a specific verb and resource ("Find products") with scope ("matching a person's constraints"). It distinguishes itself from list_attributes by routing there for filterable keys, but does not differentiate from compare_products or get_product, so it falls short of a full 5.

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?

Gives clear operative guidance: put hard requirements in the filters and the rest in query, and call list_attributes to discover filterable keys. It lacks explicit when-not-to-use guidance relative to compare_products/get_product, so it stops short of 5.

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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