panera_item_detail

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

With no annotations provided, the description carries the full burden of behavioral disclosure and meets it well. It specifies the complete return payload, discloses that negative item_ids resolve correctly, and documents the 404 case when Panera publishes no detail page for the item at a given cafe. These are concrete behavioral traits beyond a generic 'get item' claim.

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 with no filler: the action is front-loaded, the return payload is enumerated concisely, and the negative-id and 404 notes each earn their place as operational guidance. Every clause adds value.

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?

For a simple read tool with two required integer parameters and no output schema, this description is complete. It tells the agent what data will be returned, how it differs from the sibling menu endpoint, how to interpret odd item_ids, and what error to expect. Nothing necessary for invoking the tool correctly is missing.

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 the baseline is 3. The description adds meaningful parameter semantics by explaining that item_id may be negative, originates from the /panera/menu endpoint, and resolves fine here, and it ties cafe_id to the cafe context via the 404 clause. This enriches the schema's brief descriptions.

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 opens with a specific verb and resource: "Get one Panera Bread menu item's full detail." It then enumerates exactly what is returned (description, ingredient statement, nutrient panel, allergen statement, sizes) and explicitly differentiates itself from panera_menu's calorie/caffeine-only surface, so an agent can clearly identify the tool's purpose.

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 this tool by contrasting its richer nutrient panel with GET /panera/menu, implying this is the choice for full detail. It also gives usage nuance about negative item_ids. However, it does not explicitly state when not to use it or name alternative tools like panera_item_options.

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