prepare_workload_dependencies

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

The description adds valuable behavioral detail beyond annotations: it discloses that only flameox.toml requirements are installed, that the tool never executes the workload, and that the result includes an active preflight plus a recommendation to plan or inspect. This aligns with annotations (readOnlyHint false, idempotentHint true) and provides context for the agent's next action.

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, each with dedicated purpose: action, scope constraint, and outcome/next-step. No filler or redundancy.

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 tool with an output schema, the description covers the action, constraints, non-execution, and subsequent decision guidance. It gives enough for an agent to invoke correctly and interpret the result, especially with the output schema available.

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% with a clear description of workload_name. The tool description adds the crucial nuance that only dependencies already declared in flameox.toml are considered, refining the meaning of the parameter beyond the schema's generic wording.

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 specifies a concrete action: install declared workload Python distributions into the active managed runtime. It clarifies scope (only requirements in flameox.toml) and explicitly differentiates from execution (never executes a workload), separating it from sibling run_experiment tools.

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 provides guidance on what the tool does and the decision after calling it (plan or inspect a remaining host capability), and it explicitly excludes workload execution. However, it does not name alternative sibling tools for execution or configuration, so it stops short of explicit when/when-not comparisons.

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