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boc_list_groups

Read-onlyIdempotent

Lists available data groups (curated bundles of related series) from the Bank of Canada Valet API for use in retrieving series observations.

Instructions

Discover available data groups (curated bundles of related series).

Groups collect related series — for example 'FX_RATES_DAILY' bundles the daily exchange rates for many currencies. Feed a returned group name into 'boc_get_group_observations'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return.
offsetNoResults to skip (pagination).
searchNoCase-insensitive substring to filter by name, label, or description (e.g. 'exchange rate', 'CORRA', 'inflation').
response_formatNo'markdown' for readable output or 'json' for structured data.markdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds context about groups being curated bundles, but does not reveal behavioral traits beyond what the annotations convey.

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 well-structured sentences, front-loaded with the core purpose, no fluff. Concise and informative.

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?

Given the presence of an output schema, pagination parameters, and search functionality, the description is complete. It explains what groups are and how to use them, providing sufficient context for an AI agent.

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 baseline is 3. The description mentions feeding a group name into another tool, which implies the output can be used as input, but does not add specific parameter-level details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists data groups, gives a concrete example ('FX_RATES_DAILY'), and explains how to use the output with a sibling tool, distinguishing itself from other tools.

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?

The description implicitly guides usage by suggesting to feed the result into 'boc_get_group_observations', but does not explicitly state when to use or not use this tool compared to alternatives like 'boc_list_series'.

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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