Ecommerce Product Copy from Archive Colour

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

The description adds valuable behavioral context beyond annotations: it grounds copy in archive provenance, avoids generic AI output, and derives color names from historical matches. This aligns with the readOnlyHint annotation (no data modification).

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 efficiently structured: purpose statement, input/output list, unique value proposition, examples. Every sentence adds value, though minor trimming could improve conciseness.

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 output schema exists (not shown but declared), the description covers the tool's purpose, inputs, outputs, and unique value. No missing elements for a read-only content 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 100%, so parameters are already well-documented. The description reiterates the input types but does not add significant new semantics beyond the context of archive grounding.

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 ('generate') and resource ('complete ecommerce product copy for any colour'), clearly distinguishing from sibling tools like ecommerce_namer. It lists inputs and outputs, making the purpose unmistakable.

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 provides clear context for when to use (generating ecommerce copy for any color with archive provenance). However, it does not explicitly state when not to use or suggest alternatives, though the sibling tool ecommerce_namer implies a boundary.

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