beaconed_optimizations_list

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

The HTTP verb 'GET' and the word 'list' make the read-only nature clear, which partially compensates for the lack of annotations. However, it does not disclose pagination defaults, ordering, authentication needs, or response behavior, so transparency is only partial.

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?

A single, front-loaded sentence states the endpoint, action, resource, and filter categories with no filler. It is appropriately sized for the tool's simplicity.

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 description plus a fully described schema is enough to construct a basic request. It is incomplete, though, for choosing between this and sibling listing tools, and it leaves pagination behavior and response details unstated.

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%, so the schema already documents all six parameters. The description's mention of filters for status, field, product, and date paraphrases the schema without adding new meaning, which matches the baseline.

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 uses a specific verb ('list') and resource ('AI-generated optimizations') and names the filter dimensions. It is clear on its own, though it does not explicitly differentiate itself from the similarly scoped sibling beaconed_products_optimizations.

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?

No guidance is given about when to choose this tool over the overlapping sibling beaconed_products_optimizations or the more specific beaconed_optimizations_get. The description implies a general listing use case but does not state exclusions, prerequisites, or alternatives.

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