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ponytail_codebase_modernizer

Identify duplicated modules and dead abstractions to generate a surgical codebase consolidation roadmap.

Instructions

Inspired by ponytail and gstack. Analyzes holistic repository file structures, identifies duplicated modules, removes dead abstractions, and outputs a surgical codebase consolidation roadmap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_descriptionYesSummary of the project or repository file tree
Behavior2/5

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

With no annotations, the description must carry the full burden. It mentions 'removes dead abstractions' which suggests a destructive action, yet also says 'outputs a roadmap', creating ambiguity about whether the tool modifies the codebase or just analyzes it. This lack of clarity is a significant behavioral gap, especially for a tool that may have destructive side effects.

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

Conciseness4/5

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

The description is one sentence and reasonably concise, but the opening 'Inspired by ponytail and gstack' adds context that may be unnecessary and could confuse agents unfamiliar with those references. The core functionality is front-loaded, though the sentence could be tightened for better structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has one parameter and no output schema, so the description must explain the full behavior. It describes the output (roadmap) but fails to clarify whether it performs destructive actions or simply analyzes. Given the potential for mutations, this ambiguity makes the tool under-specified and risks incorrect agent behavior.

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 description coverage is 100%, so the parameter 'project_description' is already documented as 'Summary of the project or repository file tree'. The description adds no additional parameter guidance, which is acceptable given the schema already provides clear semantics. Baseline of 3 applies.

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 a specific verb and resource: it analyzes repository structures, identifies duplicates, removes dead abstractions, and outputs a consolidation roadmap. It clearly differentiates from siblings like 'modernize_legacy_code' and 'detect_dead_code_and_bloat' by focusing on holistic codebase consolidation and roadmap output.

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 for codebase consolidation but does not explicitly state when to use this tool over alternatives or when not to use it. It lacks guidance on selecting this tool versus related ones like 'detect_dead_code_and_bloat', leaving the agent to infer based on purpose.

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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