panera_quantity_rules

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

With no annotations present, the description carries the full behavioral burden and does so thoroughly. It explains that each rule includes scope, item ids, and day-offset windows with max_quantity, and it preemptively clarifies the edge case that a cafe with no active limits returns an empty rules list rather than an error.

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 compact and front-loaded, with the purpose stated in the first sentence and supporting details following in a logical order. Every sentence adds useful information: return semantics, rule structure, edge-case behavior, and id source. There is no wasted text.

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 single-parameter tool with no output schema, the description is complete enough for correct invocation. It explains what the response contains, how the data is structured, what happens in the empty case, and where the required cafe_id comes from.

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?

The input schema already documents cafe_id with the same source note, so the parameter is well-covered. The description adds marginal value by reiterating that cafe ids come from GET /panera/locations and by framing the parameter within the per-cafe limits context.

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 cafe's order-quantity limits.' It clearly distinguishes this tool from nearby siblings like panera_locations, panera_cafe, and panera_menu by naming the exact domain concept (order-quantity limits) and the per-cafe scope.

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 makes the intended use case clear by defining what the tool returns and explicitly stating that cafe ids come from GET /panera/locations, which is a useful prerequisite. It does not explicitly name alternatives or state when not to use the tool, but the resource distinction is strong enough that an agent can route correctly.

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