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list_products

Read-onlyIdempotent

List every published Love Campus course and book across Dating, Marriage and Family, with exact IDs, USD prices and current book buyability. Optional college, kind, text and budget filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo
queryNo
collegeNo
budgetMinorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds real value beyond that by disclosing that only 'published' items are returned and that results include exact IDs, USD prices, and current book buyability. It omits pagination, sorting, and any auth/rate-limit context.

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, no filler, with the scope statement front-loaded and the filter list kept to a short trailing clause. Every clause carries information the agent needs.

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?

With no output schema, the description takes on the return-value burden and does so (IDs, prices, buyability). Filters are covered and the published-only restriction is stated. Remaining gaps are pagination/sort behavior and any result limits, which are minor for a catalog list.

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 0%, so the description must carry parameter meaning, and it only loosely does: 'college, kind, text and budget' maps to college/kind/query/budgetMinor, but the names don't match the schema ('text' vs query, 'budget' vs budgetMinor) and it never explains minor-unit currency semantics or what field the text query matches against. Names the params but not their semantics.

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 concrete verb ('List') and resource (published Love Campus courses and books), plus the domain scope (Dating, Marriage and Family) and the fields returned. It does not, however, distinguish itself from the sibling list_offers or explain how 'products' relates to 'offers', so an agent must infer the boundary.

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 the usage context (browsing the catalog with optional filters) but never states when to use this rather than list_offers, recommend_offer, or prepare_purchase. No prerequisites, exclusions, or alternatives are given, so routing is left to inference.

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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