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analyze_subsystem_risk

Assess Linux kernel subsystem engineering risk and stability from git history, LKML discussions, and patches over a time range. Get risk score, stability rating, and evidence-backed risk factors.

Instructions

Analyze overall engineering risk and stability for a kernel subsystem.

Args: subsystem: Kernel subsystem identifier (e.g. 'mm', 'sched', 'net'). time_range: Time period for analysis (default: '30d').

Returns: Dictionary containing risk_score, stability_rating, risk_factors, hardware_validation_required, summary, and evidence_sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subsystemYes
time_rangeNo30d

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the return structure (dictionary with specific keys) and parameter default for time_range. It does not explicitly mention side effects or performance implications, but for an analysis tool this is adequate. The addition of return format goes beyond a vague 'analyze' statement.

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 and well-structured: a one-sentence summary, followed by Args and Returns sections. No unnecessary words or repetition of schema info. It is easily scannable for an AI agent.

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 covers the tool's purpose, parameters, and return values completely enough for an agent to select and invoke it. However, it doesn't explain how to interpret the risk_score or stability_rating values, and it lacks usage context. Given the output schema exists, the return format is sufficiently disclosed. Minor gap: no mention of when not to use this.

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

Parameters5/5

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

Schema description coverage is 0% because the schema only has title fields. The description compensates by providing meaningful semantics for both parameters: examples for subsystem ('mm', 'sched', 'net') and the default for time_range ('30d'). This is essential for correct invocation.

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 uses a specific verb ('Analyze') and resource ('kernel subsystem'), and clearly states the tool's purpose: 'Analyze overall engineering risk and stability.' This distinguishes it from sibling tools that are search/lookup oriented, making it obvious when to select this tool.

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?

Usage is implied by the description and the tool's distinct purpose, but there is no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description doesn't say 'use this when you need a risk assessment' or mention sibling tools.

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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