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veto_debt_register

Read-only

Analyzes code quality and git commit frequency to prioritize technical debt. Returns a ranked list of files with debt type, location, and suggested agent for resolution.

Instructions

Analyzes code quality + git commit frequency to produce a ranked technical debt register. High-churn + low-quality files are highest priority. Returns a prioritized list with debt type, location, and suggested agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_filesNoMax files to analyze (default 10, max 30).
extensionsNoFile extensions to scan (default: ['.ts','.js','.py','.go']).
project_dirYesAbsolute path to project.
Behavior3/5

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

Annotations declare readOnlyHint=true, consistent with the description of producing a register. The description adds context that the analysis uses code quality and git commit frequency with priority on high-churn files, but does not disclose potential performance impact, authorization requirements, or limitations.

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 brief with two sentences, each serving a purpose: first sentence states the core function, second explains ranking logic and output. No extraneous content.

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?

Despite having no output schema, the description describes the return structure (prioritized list with debt type, location, suggested agent) and the ranking heuristic. It lacks mention of execution time or potential dependencies but is sufficient for a simple analysis tool.

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 full parameter descriptions. The description does not add new semantic meaning beyond the schema, so baseline score 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 tool analyzes code quality and git commit frequency to produce a ranked technical debt register, specifying the returns as a prioritized list with debt type, location, and suggested agent. This distinguishes it from sibling tools like veto_dead_code or veto_code_review.

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

Usage Guidelines2/5

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

The description does not provide any guidance on when to use this tool versus alternatives, such as veto_full_review or veto_code_review. It lacks explicit when-to-use or when-not-to-use instructions.

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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