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lapin7771n

Wallet BudgetBakers MCP

by lapin7771n

get_accounts

Get all bank, cash, and card accounts to discover account IDs needed for transaction queries.

Instructions

Get all financial accounts (bank accounts, cash, cards, etc.).

Use this first to discover account IDs — you'll need them for get_records().

Args: ctx: MCP context limit: Items per page (1-100, default 30) offset: Items to skip for pagination account_id: Filter by exact account ID name: Filter by account name (use prefix: eq., contains., contains-i.) account_type: Filter by type (e.g. general, loan, insurance) currency_code: Filter by ISO currency code (e.g. UAH, USD, EUR) bank_account_number: Filter by bank account number created_at: Filter by creation date (e.g. "gte.2025-01-01") updated_at: Filter by last update date (e.g. "gte.2025-01-01")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
limitNo
offsetNo
account_idNo
created_atNo
updated_atNo
account_typeNo
currency_codeNo
bank_account_numberNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It discloses pagination behavior (limit/offset), filter semantics with prefix syntax (eq., contains., contains-i., gte.), and the discovery workflow. It does not explicitly state read-only/auth requirements, but 'Get' strongly implies a safe read operation, and the detailed parameter behavior adds useful context.

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 front-loaded with the purpose, followed by a one-line usage note, then a clean bulleted parameter list. Every line adds value, and the length is appropriate for the number of parameters.

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?

Despite having an output schema that covers return values, the description still explains the relationship to get_records, pagination, filtering, and all parameter semantics. It is complete for a list/discovery tool with this complexity.

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?

The input schema has zero descriptions, yet the tool description documents all 9 parameters with types, defaults, examples, and filter syntax. This fully compensates for the schema's lack of coverage and goes well beyond the baseline.

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 opens with a specific verb and resource: 'Get all financial accounts (bank accounts, cash, cards, etc.)'. It also differentiates itself from siblings by noting it should be used first to discover account IDs, clearly positioning it as the account-discovery tool.

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 explicitly instructs 'Use this first to discover account IDs — you'll need them for get_records()', which provides a clear use case and relationship to an alternative tool. It does not list when-not-to-use scenarios, but the guidance is strong enough for an agent to select it appropriately.

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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