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DIP-RO
by DIP-RO

ctx_environment

Retrieve environment intelligence including Python version, virtual environment, dependencies, Docker setup, and .env file status. Focused on project context awareness.

Instructions

Get environment intelligence: Python version, venv, dependencies, Docker, .env status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden. The verb 'Get' indicates a read-only operation, and the content list clarifies scope, but it does not disclose potential side effects, permission requirements, or performance characteristics such as Docker inspection time or .env file parsing.

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 a single, front-loaded sentence that packs the core purpose and key content areas without any fluff. Every word earns its place.

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

Completeness3/5

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

For a simple one-parameter tool, the description covers the main purpose and content, and the output schema exists to detail return values. However, it omits parameter semantics and usage boundaries, making it not fully complete for an agent to confidently invoke it in all situations.

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

Parameters2/5

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

The schema has 0% description coverage for its sole parameter `detailed`, and the description does not explain the parameter's effect or how it alters the output. The name is somewhat self-explanatory, but the description fails to compensate for the missing schema documentation, leaving the agent to guess.

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 the specific verb 'Get' and identifies the resource as 'environment intelligence', listing concrete aspects (Python version, venv, dependencies, Docker, .env status). This clearly distinguishes from sibling tools like ctx_git or ctx_project which focus on other domains.

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 the tool is to be used for environment inspection, but provides no explicit when-to-use guidance, exclusions, or alternative tool references. An agent must infer when to call this over ctx_project or ctx_diagnostics.

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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