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rivradev

recite-mcp

by rivradev

create_rule

Define conditions and actions to automate receipt categorization, project assignment, or processing preferences.

Instructions

Create an automation rule.

Args: rule_type: One of: vendor_category, default_project, processing_preference. condition: Condition object (e.g. {"vendor": "Starbucks"}). action: Action object (e.g. {"set_category": "Coffee"}). priority: Optional priority integer (higher = first).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rule_typeYes
conditionYes
actionYes
priorityNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It lacks information on whether the rule activates immediately, conflict resolution for priorities, required permissions, or side effects. Only parameter semantics are covered.

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 concise (approximately 5 lines) and well-structured as a parameter list with examples. Every sentence is necessary and front-loads the main purpose. No wasted 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 tool's complexity (4 parameters, nested objects), the description covers all parameters with examples. It lacks detail on rule activation timing or validation, but is mostly complete for a create operation. The absence of an output schema is acceptable per rules.

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?

With 0% schema description coverage, the description compensates well by listing allowed values for rule_type, providing examples for condition and action, and explaining priority as an optional integer with higher values taking precedence. This adds significant meaning beyond the schema.

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 states 'Create an automation rule.' with a clear verb and resource. It distinguishes from sibling tools like update_rule and delete_rule by specifying the creation action. Examples for each parameter further clarify the tool's purpose.

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 usage through parameter descriptions but does not explicitly state when to use this tool versus other create tools (e.g., create_category, create_project). No exclusions or when-not-to-use guidance is provided, though the context of automation rules is inherent.

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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