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boc_list_series

Read-onlyIdempotent

Discover and filter economic data series from the Bank of Canada. Search by keyword to narrow results, then get series names for fetching observations.

Instructions

Discover available data series in the Bank of Canada Valet API.

Use this first when you do not already know a series name. Filter with 'search' to narrow the (large) catalogue, then feed a returned name into 'boc_get_observations'. Returns a paginated list of series with their name, label, and description.

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
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. Description adds that it returns a paginated list with name, label, description, providing useful detail beyond annotations.

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?

Four sentences, each essential: purpose, usage order, search/next step, return structure. No redundant words.

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 tool's purpose and the presence of output schema, description fully covers discovery workflow, pagination, and integration with sibling tools.

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 coverage is 100% with good descriptions. Description adds strategic context: mentions filtering to narrow catalogue and pagination, but does not repeat schema details.

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?

Description clearly states the tool lists/search Bank of Canada data series. It distinguishes from siblings by indicating this is the first step to discover series names.

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

Usage Guidelines5/5

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

Explicitly instructs when to use ('first when you do not already know a series name'), how to filter with 'search', and the next step ('feed a returned name into boc_get_observations').

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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