panera_time_slots

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

There are no annotations, so the description carries the full burden. It adds key behavioral context: empty results are valid because the cafe may be closed, and the date is interpreted in the cafe's local timezone, which affects result correctness. It doesn't mention rate limits, auth, or error handling, but for a read-only availability tool the covered behaviors are the important ones.

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 that are fully purposeful: the main action is first, then the key return contents, then a behavioral caveat, then parameter guidance. There is no repetition or filler, and the crucial clarification about empty windows is front-loaded enough to prevent misinterpretation.

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 two-parameter read-only tool with no output schema, this description gives enough context: what is returned, the key edge case (empty window list, which is often misinterpreted as an error), and timezone behavior. It doesn't outline the exact return shape (e.g., window objects, fields), but the description still covers the essential decision-making information.

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 schema already documents both parameters fully (100% coverage), and the description adds meaningful detail beyond the schema: it clarifies the date is interpreted in the cafe's own timezone and frames the call as 'one cafe for one date,' which maps directly to the parameters. This is above the baseline but does not go into full format details or constraints.

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 explicitly states the specific verb and resource: 'Get one Panera Bread cafe's available order time-slot windows,' and clarifies it returns pickup/delivery slots plus overall open/close time. It also distinguishes itself from sibling tool panera_cafe by contrasting live availability with published storefront hours, making differentiation clear.

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 explicit usage direction: it contrasts itself with GET /panera/cafe's published hours and explains that this tool reflects live order-slot availability. It also tells agents that an empty windows list is a legitimate outcome, not an error. However, it does not name the exact sibling tool for the alternative nor enumerate other scenarios where this should be avoided.

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