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Frihet-io

Frihet MCP Server

by Frihet-io

Categorize Transaction

categorize_transaction
Idempotent

Assign a category to a bank transaction to track expenses for tax deductions.

Instructions

Apply a category to a bank transaction for manual classification. Categories map to expense categories for tax deduction tracking. Example: id='tx_abc', category='supplies', notes='Office paper Q1' / Asigna una categoria a un movimiento bancario. Las categorias se mapean a categorias de gastos para el control de deducciones fiscales.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesTransaction ID / ID del movimiento
notesNoOptional notes for this classification / Notas opcionales
categoryYesCategory slug (e.g. 'supplies', 'travel', 'software') / Categoria

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
amountYes
statusNo
categoryNo
currencyNo
postedAtNo
accountIdNo
createdAtNo
updatedAtNo
descriptionNo
matchedDocIdNo
Behavior3/5

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

Annotations already indicate it's not read-only and idempotent. The description adds context about manual classification and tax mapping, but does not disclose overwrite behavior or potential side effects. With annotations bearing part of the burden, this is adequate but not thorough.

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 very concise: two sentences plus an example in two languages. It front-loads the purpose and includes relevant details without unnecessary words.

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 three parameters and presence of an output schema, the description covers the essential intent and usage. It lacks some details like category validation, but the schema examples compensate. It is complete enough for an agent to use correctly.

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% with parameter descriptions. The description provides an example that clarifies usage but does not add new meaning beyond the schema. Baseline 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 verb 'apply a category' and the resource 'bank transaction' and the purpose of manual classification for tax deduction tracking. An example is provided, making it unambiguous. It is easily distinguishable from siblings like 'match_transaction_to_invoice'.

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 implies use for manual classification but does not explicitly state when to use this tool versus alternatives like automatic categorization or matching. No exclusions or when-not-to-use guidance is provided.

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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