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

The description adds behavioral context beyond the annotations by explaining the internal model and the DRS solver that splits and rebalances flow. It also includes an ANTI-FABRICATION note stating that numbers come from a real Plant Builder engine run and should be quoted verbatim, which is useful behavioral guidance. The readOnlyHint and destructiveHint annotations are consistent with the description, so no contradiction exists.

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 three sentences, front-loaded with the core action and model context. It efficiently covers the model architecture, expected returns, and the anti-fabrication note. No redundant or filler content is present.

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?

Given the lack of an output schema, the description compensates by listing the return values (plant rollup, per-product goal attainment, campaign timelines, surge-bin/delivered levels). It also provides enough context about the model and its operation. The description is sufficiently complete for a demo-run tool, especially with annotations covering safety traits.

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 the schema coverage is 100% (empty object). Per the rubric, a 0-parameter tool receives a baseline score of 4. The description adds no parameter-specific semantics because there are none to describe.

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 clearly states the action: "Run the Vegetable Plant (VEG) demo," and specifies it is a Plant Builder distribution-control model. It provides enough detail (two Making lines, five Packing lines, eight surge bins, DRS solver) to distinguish it from sibling demo-run 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 implies when to use the tool: when you need to run the VEG demo. However, it does not explicitly state when to use this tool over alternatives like run_chocolate_processing or run_tissue_line, nor does it provide any exclusions. This is implied usage, not explicit guidance.

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