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Frihet-io

Frihet MCP Server

Create Bank Categorization Rule

frihet_bank_rule_create

Create rules to automatically categorize bank transactions by setting conditions and applying actions like category, tag, or client assignment.

Instructions

Create a new bank auto-categorization rule. Rules apply automatically to matching incoming transactions. A rule has conditions (AND logic) and actions (assign category, tag, or client). Example: name='Mercadona groceries', condition description contains 'MERCADONA', action category='groceries'. / Crea una nueva regla de categorizacion automatica de transacciones bancarias. Las reglas aplican condiciones (logica AND) y acciones (categoria, etiqueta, cliente).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRule name for identification / Nombre de la regla
conditionsYesRule conditions (AND logic — all must match) / Condiciones (logica AND — todas deben cumplirse)
actionsYesActions to apply when rule matches / Acciones a aplicar cuando la regla se cumple
isActiveNoWhether the rule is active (default true) / Si la regla esta activa (por defecto true)
Behavior4/5

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

Annotations indicate non-read-only and non-destructive. The description adds beyond annotations by detailing rule structure (AND logic, conditions, actions) and automatic enforcement. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is bilingual, making it longer than necessary. While it covers needed content, the repetition of information in two languages reduces conciseness.

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?

The description explains the rule's behavior, conditions, actions, and includes an example. It could mention that conditions are AND-only more explicitly, but it’s mostly complete for intelligent agent use.

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

Parameters4/5

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

Schema coverage is 100% with parameter descriptions. The description adds value by explaining condition logic (AND) and action types with an example, which augments the schema descriptions.

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 creates a bank auto-categorization rule, explains its purpose with conditions and actions, and provides an example. This distinctly separates it from sibling tools like frihet_bank_rules_list.

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 indicates when to use the tool (creating rules that automatically apply to transactions) and provides a concrete example. However, it lacks explicit when-not-to-use guidance or alternatives, which is acceptable since no sibling creates rules.

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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