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

With no annotations, the description carries the full burden; it usefully discloses that the solver enforces prerequisites, gates, and budgets. However, it does not say what happens on unsatisfiable input, whether include/priorities can conflict, or what the returned string looks like.

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 tight sentences, front-loaded with the output artifact, then inputs, then solver behavior. No filler.

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?

No annotations and no output schema, with five parameters at 0% schema coverage. The description covers input intent and solver constraints but leaves the result format and failure behavior underspecified for a nontrivial generation tool.

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 coverage is 0%, so the description must compensate; it explains include, hero_tree, and priorities reasonably well. It leaves class/spec format and the name-vs-id ambiguity only partially addressed, so it falls short of full compensation.

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?

States a specific verb (Produce) and resource (valid, importable loadout string for a class/spec), which is clearly the inverse of the sibling decode_build. It does not explicitly name a sibling, but the input/output direction makes the distinction inferable.

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 implies when to use it by describing the inputs it expects, but never states when to prefer it over decode_build or popular_builds, nor any preconditions. Usage is implied rather than stated.

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