Backend + environment info

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly lists what information is reported, which implies a read-only introspection tool, but it does not explicitly state that the operation has no side effects, nor does it describe output structure or potential authorization/availability caveats. The description is adequate but not deeply transparent.

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

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

The description is a single well-structured sentence that front-loads the verb and immediately enumerates the concrete outputs. It includes the purpose clause without redundancy or filler. Every element contributes to letting an agent understand what this tool reports and why it would use it.

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

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

This is a simple zero-parameter informational tool with no output schema, so the description reasonably outlines the main return categories: backend chain, pricing, gatekeeper policy, presets, memory summary, and workspace paths. It does not detail output formatting or edge cases, but for an introspection tool of this simplicity, the provided context is largely sufficient.

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

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

The tool has zero parameters and an empty input schema, so the baseline is 4 per the rubric. The description needs to convey no parameter meaning because there is nothing to configure; it instead meaningful lists the information domains returned. There is no gap for the description to fill.

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

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

The description opens with the specific verb 'Report' and enumerates the exact resources covered: backend chain, pricing, gatekeeper policy, presets, memory summary, and workspace paths. It clearly frames the tool as a setup-diagnostics operation, which distinguishes it from sibling decision/evaluation tools like jev_evaluate, jev_decide, and jev_plan.

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

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

The description states the target use case explicitly: 'so agents can self-diagnose the setup.' This gives a clear contextual trigger for invoking the tool, though it does not name alternatives or state when not to use it. Given the sibling list, the diagnostic intent is enough to guide selection for most agents.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.