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Australian Consumer Data Right Product Data - CDR Explorer

Get Single Product Fees

get_product_fees
Read-onlyIdempotent

Returns the fees of a specific banking product (identified by Product ID) offered by a Data Holder, as defined by the CDR Banking standards (BankingProductFeeV2). Use GetDataHoldersByCategory first to obtain a valid Data Holder Brand ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productIdYesThe unique identifier of the product whose features should be retrieved
dataHolderBrandIdYesThe unique brand identifier of the Data Holder, as returned by GetDataHoldersByCategory

TDQS

A3.8/5.0
Behavior3/5

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

The readOnlyHint and idempotentHint annotations already disclose the safety profile, and the description's 'Returns' wording is consistent—no contradiction. It adds a useful reference to the CDR BankingProductFeeV2 standard, but otherwise does not describe pagination, error behavior, or response structure.

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 with no filler: the first states what the tool returns and its standard, and the second provides the key prerequisite. The most important identifying information is front-loaded.

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 a simple read-only two-parameter retrieval tool, this is largely complete: it names the resource, the required identifiers, the governing standard, and the upstream dependency. The lack of an output schema makes a bit more return-format detail desirable, but the description is adequate for initial selection.

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 coverage is 100%, so the schema already documents both parameters. The description clarifies that Product ID selects the product whose fees are returned and names the prerequisite for dataHolderBrandId, but much of that repeats what the schema already states.

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 clearly states a specific verb and resource: it returns fees for a single banking product identified by Product ID. It implicitly distinguishes from the plural sibling get_products_fees by emphasizing 'specific product,' but it does not explicitly differentiate itself from get_product_fees_by_event.

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?

It gives a clear prerequisite: call GetDataHoldersByCategory first to obtain a valid dataHolderBrandId. However, it provides no exclusions or guidance about when a sibling tool such as get_product_fees_by_event or get_products_fees would be more appropriate.

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

A3.5/5.0
Disambiguation3/5

Tools are generally distinct in purpose (data holders, categories, constraints, etc.), but significant overlap exists between singular and plural variants (e.g., get_product_constraints vs get_products_constraints) and between generic and filtered variants (get_product_constraints vs get_product_constraints_by_type). Although descriptions clarify the differences, the names are too similar, leading to potential misselection.

Naming Consistency3/5

The naming follows a consistent 'get_<resource>_<detail>' pattern with snake_case. However, there is an inconsistency between singular ('product') and plural ('products') prefixes, and the inclusion of 'hello' breaks the pattern entirely. Overall, the pattern is recognizable but not uniform.

Tool Count3/5

With 17 tools, the count is on the higher side for a specialized data server. Several tools are essentially duplicates (singular vs. plural) that could be merged with a parameter. The 'hello' tool adds no value. The number of tools feels slightly bloated for the apparent domain, but not excessively so.

Completeness2/5

The tool set focuses on retrieving specific attributes (constraints, fees, features) for known product IDs, but lacks any tool to list or search for products. Without get_products or similar, an agent cannot discover product IDs needed to use the other tools, creating a critical workflow gap. Minor operations like product creation or update are not expected, but basic product listing is missing.

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