autoscale_worker_pool

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action without explaining effects (e.g., whether setting bounds triggers immediate scaling, validation rules like min<=max, reversibility). This is insufficient for a mutation tool.

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, concise sentence with no unnecessary words. It is efficiently front-loaded and easy to read.

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?

Despite having 3 required parameters and no annotations, the description is extremely minimal. It does not mention prerequisites (e.g., worker pool must exist), error conditions, return value, or relationship to sibling tools. The output schema existence is not leveraged.

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 0%, so the description must compensate. It does not explain what 'min' and 'max' represent (e.g., minimum/maximum number of workers). The parameter names are self-explanatory but clarity could be improved, e.g., specifying units or constraints.

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 'Set autoscale bounds for a worker's pool' uses a specific verb ('set') and resource ('autoscale bounds for a worker's pool'), clearly distinguishing it from sibling tools like grow_worker_pool and shrink_worker_pool, which are for manual scaling.

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 does not explicitly state when to use this tool versus alternatives (e.g., for automated scaling vs. manual adjustments). The context of sibling tools implies the distinction, but no direct guidance or exclusions are provided.

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