detectProductionBottlenecks

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that the tool 'detects active and impending' bottlenecks but does not clarify whether it performs a read-only analysis, what data sources are accessed, or how results are returned. This is insufficient for the agent to understand side effects or safety implications.

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, front-loaded sentence with no filler. Every word contributes to conveying the tool's purpose and scope, making it appropriately concise and structurally sound.

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?

The tool has a simple input schema (no parameters), but lacks an output schema and annotations. The description covers the detection scope but does not mention what the tool returns (e.g., a list, a report, a severity score) or any caveats. For a low-complexity, parameterless tool, this is a moderate gap that could confuse agents expecting return format details.

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, so the schema provides complete coverage. The description adds no parameter-specific meaning, but per the rubric, a 0-parameter tool receives a baseline of 4 because there is nothing to explain.

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 tool's function using the specific verb 'detects' and defines the scope as 'active and impending production bottlenecks across machines, inventory, and shifts.' This distinguishes it from sibling tools like analyzeFactory or predictMachineFailure, which have broader or different analytical purposes.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any exclusions or preferred contexts, leaving the agent without direction for selecting this over siblings like getMachineStatus or analyzeFactory.

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