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Catalog: plans, prices, limits

get_catalog
Read-onlyIdempotent

The complete machine-readable catalog: company, plans with net prices and limits, dpa packages, tax rule, how requests are counted, screens per plan for reference usages, legal documents.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description's only added behavioral signal is that the catalog is 'complete' and machine-readable, implying one bulk static read — useful but thin, with no note on size, caching, or whether the data is tenant-specific.

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?

A single front-loaded sentence that leads with the core noun ('The complete machine-readable catalog') and then enumerates contents. The dense comma list is information-bearing rather than filler, though the enumeration is slightly list-heavy for one sentence.

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 parameters and no output schema, the description carries the burden of saying what comes back, and it does so by enumerating the catalog's sections. Missing only structural detail such as nesting or approximate size, which is minor for a static reference endpoint.

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?

The tool takes zero parameters, which is the baseline-4 case; there is nothing to disambiguate. The description correctly makes no parameter claims, consistent with an empty schema.

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 precisely what the tool returns — a complete machine-readable catalog — and enumerates its contents (company, plans with net prices and limits, DPA packages, tax rule, request counting, screens per plan, legal documents). That is far more specific than the title alone, though it never explicitly contrasts itself with siblings such as get_trust_documents or recommend_plan, which partially overlap in subject matter.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this versus calculate_price, recommend_plan, or get_trust_documents, and no guidance about whether it should be fetched once and reused. Usage is only implied by the content list (call it to obtain reference pricing/limits data).

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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