prepare_workload_dependencies

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

Beyond the annotations (readOnlyHint=true, idempotentHint=true, destructiveHint=false), the description adds a critical safety guarantee: "never installs packages, mutates an environment, or executes the workload; in other words, it never executes user code." It also discloses the return behavior (includes an active preflight that drives the capture-or-fix decision). These claims reinforce rather than contradict the annotations and give the agent meaningful behavioral context annotations alone could not convey.

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?

Three sentences with no waste: the first states the core purpose, the second delivers the critical safety guarantee, and the third explains the actionable output. Each sentence earns its place, and the purpose is front-loaded ahead of supporting details.

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?

For a single-parameter inspection tool with full annotations (read-only, idempotent, non-destructive), a complete input schema, and an output schema present, the description covers everything an agent needs: what it does, what it guarantees not to do, and what decision the result enables. There are no meaningful gaps for this tool's complexity level.

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?

Schema description coverage is 100%, so the schema already fully documents the single workload_name parameter with a clear description. The tool description adds only marginal semantic context — the "bound interpreter" nuance and the fact that the workload's Python distribution requirements are what get inspected — but does not substantially deepen parameter understanding beyond the schema. Baseline 3 is appropriate.

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 a specific verb+resource pairing — "Inspect declared workload Python distributions in its bound interpreter" — which precisely identifies the operation's target and scope. It also differentiates this from the many sibling workflow tools by positioning it as an inspection/preflight step rather than a mutating or execution step, so an agent can distinguish it from plan_capture, configure_workload, and similar siblings.

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 gives a clear decision rule: the result includes an active preflight and tells the agent whether to plan capture or fix the environment outside Flameox. This tells the agent when this tool matters in the workflow and what outcome to expect. However, it does not explicitly name alternatives or state when not to use this tool versus the many capture/configuration siblings, so it stops short of full exclusionary guidance.

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