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panera_item_options

Read-only

Fetch one Panera menu item's choice groups, including combo-slot choices, customization amounts, prices, and allergens. Use panera_item_detail for core item data, panera_quantity_rules for order caps, or panera_menu to browse items.

Input Schema

NameRequiredDescriptionDefault
cafe_idYesRequired. Panera cafe id, from /panera/locations.
item_idYesRequired. A menu item's item_id, from /panera/menu.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

readOnlyHint/openWorldHint annotations already cover the safety profile, so the description earns credit by disclosing the richness of the payload (choice groups, combo-slot options, customizations, prices, allergens). It doesn't state rate limits or per-cafe variability, but for a scoped read with annotations it adds solid content context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero waste, with the what-it-returns statement front-loaded ahead of the sibling routing. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need no prose. With annotations covering safety, both params documented, and the payload scope described, an agent has everything needed to call this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters already document their source (/panera/locations, /panera/menu). The description implies 'one item' but adds no extra syntax or format meaning beyond the schema, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Fetch') and resource ('one Panera menu item's choice groups'), enumerates the exact payload it returns (combo-slot choices, customization amounts, prices, allergens), and names the sibling tools it is not. An agent can distinguish it from panera_item_detail without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent: panera_item_detail for core item data, panera_quantity_rules for order caps, panera_menu for browsing. Each alternative comes with the condition that selects it, leaving nothing to inference.

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

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