panera_menu

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

With no annotations, the description carries the full burden and does so thoroughly. It discloses the per-cafe pricing behavior with a concrete example, the nutrition data limits (only Calories and Caffeine are published credential-free), the allergen statement structure, the wellness labels, the live in_stock flag, and the 404 behavior for unknown cafe ids.

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 front-loaded with the core purpose, and all additional details serve a purpose. However, it is dense and contains a lengthy price-anecdote parenthetical that, while illustrative, could be trimmed. Still, no sentence is wasted.

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 there is no output schema, the description compensates by enumerating the return structure (category tree, item catalog, item fields), known limitations, data source for the parameter, and error behavior. An agent has enough to call this tool correctly and interpret the response.

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%: the only parameter, cafe_id, is already described as 'Panera cafe id, from /panera/locations'. The description reinforces this source and adds the 404 behavior, but it does not meaningfully expand parameter semantics beyond what the schema already provides.

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 names a specific verb ('Get'), a specific resource (one Panera Bread cafe's full menu), and enumerates the exact content (prices, nutrition, allergens, category tree). It clearly distinguishes itself from panera_catering_menu and panera_locations by framing what this tool returns versus where cafe ids come from.

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 gives clear context: it returns the full per-cafe menu, and it explicitly directs the agent to GET /panera/locations for cafe ids. It does not name alternative sibling tools for scenarios like catering menus or item details, so it stops short of an explicit when-not-to-use statement.

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