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veto_env_setup

Scan project config files to generate a .env.example and step-by-step setup guide for required environment variables.

Instructions

Analyzes project config files (package.json, requirements.txt, .env, etc.) and generates a .env.example with all required environment variables, plus a step-by-step setup guide.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_dirYesAbsolute path to project.
write_filesNoIf true, write .env.example to disk (default false).
agent_responseNoPhase 2 response from the host AI (JSON). Pass this back when prompted by the server to complete the agentic loop.
Behavior3/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, and the description mentions analysis and generation. However, it does not clarify that writing to disk is optional (controlled by 'write_files' parameter) or explain behavior regarding the agentic loop (e.g., need for 'agent_response'). The description provides moderate transparency beyond annotations.

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 a single sentence that efficiently conveys the core functionality. While concise, it could be restructured to separate the analysis step from the output for improved readability.

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 description fails to mention the 'agent_response' parameter or the agentic loop context, which is critical for proper invocation. Without this, an AI agent might not understand how to complete the multi-phase interaction. The tool's complexity (3 params, 1 nested object) demands more explanation.

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%, so parameters are well-documented in the schema. The description adds context about what the tool does but does not elaborate on parameter usage or constraints beyond the schema. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('analyzes... and generates') and the resources (project config files, .env.example, setup guide). It distinguishes the tool's purpose from siblings implicitly by its specific function, but does not explicitly differentiate from similar-sounding tools like 'veto_platform_setup'.

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?

No guidance is provided on when to use this tool versus alternatives. The description only states what the tool does without any context about prerequisites, typical scenarios, or when to avoid using it.

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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