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oliverames

MCP Server for Wave

by oliverames

Wave: List Currencies

wave_list_currencies
Read-onlyIdempotent

List supported currency codes for Wave Accounting. Filter by currency code or name (e.g., 'CAD' or 'dollar'). Output as markdown or JSON.

Instructions

List the currency codes Wave supports. Wave supports about 160 currencies, so pass search to narrow the list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoCase-insensitive filter on code or name, e.g. "CAD" or "dollar".
response_formatNoOutput format: "markdown" for a compact human-readable summary, "json" for the complete record.markdown
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds minimal behavioral context (data size ~160 currencies, search narrowing), but does not disclose pagination, rate limits, or response structure, which are expected for a list operation.

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?

The description is extremely concise—two sentences with no filler. The first sentence immediately states the core purpose, and the second provides actionable context about data volume and search usage. Every sentence is essential.

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?

Given the simplicity of a list-all task and strong annotation coverage, the description sufficiently sets expectations. It hints at returned data (code/name via search filter) but omits explicit return structure for the two output formats, which is a minor gap for a tool without an output schema.

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 parameters are already well-defined. The description reinforces the search parameter's purpose ('narrow the list') but does not add new meaning beyond what the schema provides. Baseline score of 3 is appropriate.

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 the tool lists supported currency codes. The verb 'list' and resource 'currency codes' are unambiguous. It differentiates from sibling tools like wave_get_currency (which retrieves a single currency) by focusing on enumeration.

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 contextually advises using the search parameter to narrow results, implying efficient usage for large datasets. However, it does not explicitly compare to alternatives like wave_get_currency for single-currency lookups, missing a clear when-not-to-use guide.

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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