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AxLabs

Banana Accounting MCP Server

by AxLabs

Budget interest

banana_budget_interest
Read-only

Calculate interest on budget transactions for an account, group, or class. Specify the interest rate, period, and frequency to get the computed amount.

Instructions

Return the calculated interest on an account/group/class for budget transactions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docNoAccounting document name as opened in Banana (e.g. "accounting.ac2"). Append "_p1", "_p2" for previous years. Defaults to BANANA_DEFAULT_DOC if set.
rateYesInterest rate in percent with a dot decimal separator, e.g. "2.5" or "-8.0".
filterNoJavaScript expression to filter transactions, e.g. filter=row.value("Date")==="2024-01-15". Available: row, rowNr, table.
periodNoPeriod filter: an abbreviation like "Q1"/"3M"/"1Y" or a date range "2024-01-01/2024-03-31".
accountYesAccount/group/class selector: an account id ("1000"), group ("Gr=6"), balance class ("BClass=1"), or pipe-separated accounts ("1000|1010|1020").
frequencyNoFrequency: D=daily, W=weekly, M=monthly, Q=quarterly, S=semesterly, Y=yearly.
Behavior2/5

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

Annotations include readOnlyHint=true, confirming read-only operation, but the description adds no further behavioral detail. It does not explain how the interest is calculated, how the period or rate affect the result, or what output format to expect. No contradiction exists, but no value is added 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?

The description is a single sentence that is direct and front-loaded, with no filler or redundant information. It earns its place by clearly stating the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description does not describe the return value's format or behavior, such as whether it returns a single number, a table, or how it handles multiple accounts. This lack of context makes the tool underspecified for an agent to fully understand what it will receive.

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?

The input schema has 100% description coverage for all six parameters, so the baseline of 3 applies. The tool description adds no extra meaning to the parameters, but the schema already documents each parameter's purpose and format.

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 the action ('Return') and the resource ('calculated interest on an account/group/class for budget transactions'), which distinguishes it from siblings like banana_interest or banana_budget. However, it does not explicitly name alternative tools or contrast them.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as banana_interest for actual transactions. The description only states what it does, leaving the agent to infer usage context from the name and sibling list.

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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