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The catalog

get_catalog
Read-only

Retrieve offer-building options by industry, including what each does, problems it solves, inputs used, and placeholder price ranges; omit the industry to list all industries and option titles.

Instructions

Options an offer can be built from, per industry: what each does, which problems it answers, what it uses, and a price range. Without an industry, lists every industry and its options' titles. Price ranges are placeholders; the provider sets the amounts.

Input Schema

NameRequiredDescriptionDefault
industryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, so safety is covered. The description adds genuinely non-obvious behavior: omitting the industry changes the response mode (all industries, titles only) versus full detail per option, and it flags that price ranges are placeholders the provider later sets — a caveat an agent would otherwise misreport as real pricing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Two sentences, front-loaded with what the tool returns and followed by the no-argument fallback and the pricing caveat. The opening is a noun phrase rather than a verb, which reads slightly fragmented, but there is no filler.

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?

For a single-parameter, read-only lookup with no output schema, the description does the work the missing output schema would: it lists the fields of each option and notes the reduced shape when no industry is passed. Combined with annotations covering the safety profile, an agent has everything needed to call it and interpret the result.

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 description coverage is 0%, so the description has to carry the meaning of the single industry parameter — and it does, explaining both the provided case (detailed options for that industry) and the omitted case (every industry, titles only). The allowed enum values live in the schema, so no duplication is needed. Minor gap: no guidance on how to recover from an unrecognized industry.

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?

The description names the resource precisely (options an offer can be built from, per industry) and enumerates the fields returned: what each does, problems it answers, what it uses, price range. An agent can tell this is a reference-catalog read rather than an offer operation. It stops short of naming a sibling it is not, so it doesn't reach a 5.

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?

Usage is only implied: the phrase 'Options an offer can be built from' suggests this is a discovery step before draft_offer, but neither draft_offer nor any other sibling is named as a downstream or alternative. There are no explicit when-to-use or when-not-to-use conditions.

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