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talon_rules

Read-onlyIdempotent

Show the rationale behind Raven's Talon detector rules: id, category, severity, taste scope, and cited principle. Use it to justify a rule before running a scan.

Instructions

Enumerate Raven's Talon detector rule corpus — id, category, severity, taste scope, and the src/data/principles/*.json entry each rule cites. No scan required; use this to show a client 'why' before or instead of running talon_scan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.2.9

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, and non-destructive behavior. The description adds valuable behavioral context by stating that no scan is performed and by listing what each rule entry contains, going beyond the annotation baseline.

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 two sentences with no wasted words. The core purpose is stated up front, and the usage guidance is delivered in a clear second sentence.

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?

For a zero-parameter, read-only enumeration tool, the description covers purpose, usage boundary, and the shape of returned data. It does not formally define 'taste scope' or an example response, but this is a minor gap given the simplicity of the tool.

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?

The tool has zero parameters and the schema indicates no properties, so there is nothing for the description to explain. A 0-parameter tool is already fully covered by the schema and annotation context.

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 explicitly states the verb 'Enumerate' and identifies the exact resource: Raven's Talon detector rule corpus. It also names the fields returned, which makes the tool's scope concrete and differentiates it from the sibling talon_scan.

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

Usage Guidelines5/5

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

The description gives an explicit use case: show a client why before or instead of running talon_scan. It also clarifies that no scan is required, which prevents the agent from confusing this tool with the actual scanning sibling.

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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