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hvkshetry

Wave MCP Server

by hvkshetry

account

Manage chart of accounts in Wave: list, search, create, update, archive accounts with filters and pagination.

Instructions

Chart of Accounts management in Wave.

Operations: Read: list, get, search Write: create, update, archive

Args: operation: One of the operations listed above. account_id: Account ID (base64 string, required for get/update/archive). data: Dict of fields for create/update. Key fields: - name (str, required for create) - subtype (str, AccountSubtypeValue enum) - currency (str, currency code) - description (str) query: Search text for search operation (matches name, client-side). types: Filter by AccountTypeValue list (e.g. ["ASSET", "LIABILITY"]). subtypes: Filter by AccountSubtypeValue list. page: Page number (default 1). page_size: Results per page (default 50).

Returns: JSON string with account data or {"error": "..."}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
pageNo
queryNo
typesNo
subtypesNo
operationYes
page_sizeNo
account_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, but the description only lists operations without elaborating on behavioral traits like authentication needs, rate limits, or side effects of 'archive' (which might be destructive despite the annotation). The description adds little beyond the annotations and operation list.

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?

The description is well-structured with clear sections for operations and arguments. It is reasonably concise given the parameter count (8), though some sentences could be tighter. No filler content.

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 complexity (8 params, nested objects, output schema exists), the description covers all parameters, return format, and key behavioral notes (e.g., client-side search, required account_id). It omits details on output schema structure but that is acceptable as an output schema is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by explaining each parameter: operation enum list, account_id format and usage, data dict with key fields and types, query behavior, filters, and pagination. This provides excellent guidance beyond the bare 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?

The description clearly states it's for 'Chart of Accounts management in Wave' and lists specific operations (list, get, search, create, update, archive), providing a clear sense of purpose. However, it does not differentiate from sibling tools like 'item', 'party', etc., leaving the agent to infer context from tool names alone.

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

Usage Guidelines3/5

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

The description explains the operations and their required parameters (e.g., account_id for get/update/archive, query for search). It implies when to use each operation but does not explicitly state when to use this tool versus its siblings, nor provide when-not or alternative suggestions.

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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