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panera_menu

Retrieve any Panera Bread cafe's full menu with per-cafe prices, nutrition, allergens, dietary labels, and live stock status by cafe ID.

Instructions

Get one Panera Bread cafe's full menu with prices, nutrition and allergens. Returns one cafe's full category tree (with subcategories) and its complete item catalog, priced for that specific cafe -- Panera's prices are genuinely per-cafe, not a national list (the same salad has been confirmed live at different prices in Chicago and New York). Each item carries its price, product type, whether it is customizable, its published nutrients (only Calories and Caffeine are published -- a fuller macro/micronutrient breakdown is not available), its allergen statement (contains / may-contain, each with an id and display name), Panera's own wellness/dietary labels (for example Vegan, Vegetarian, Gluten Conscious), and a live in_stock flag reflecting this cafe's current stockouts. Cafe ids come from GET /panera/locations. An unknown cafe id returns a 404.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cafe_idYesPanera cafe id, from /panera/locations

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.2

TDQS

A4.2/5.0
Behavior5/5

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 richly: per-cafe pricing with a Chicago/New York example, the exact fields each item carries, the caveat that only Calories and Caffeine are published, allergen contains/may-contain structure, wellness labels, and a live in_stock flag for stockouts.

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

Conciseness4/5

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

Core purpose is front-loaded in the first sentence, and the dense remainder is largely justified by real disclosure (per-cafe pricing, nutrient limitation, stockouts, 404). It is long but nearly every clause adds agent-relevant information.

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?

No output schema exists, so the description must explain the return shape, and it does: category tree with subcategories, item catalog, and every per-item attribute. Combined with the error behavior and parameter provenance, an agent has everything needed to call it 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 the single parameter is fully documented there, including its source. The description repeats the /panera/locations provenance and adds the 404-on-unknown-id behavior, but supplies no additional format or constraint detail 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 (Get), resource (one Panera Bread cafe's full menu), and scope (prices, nutrition, allergens). It clearly distinguishes itself from granular siblings like panera_item_detail and panera_catering_menu by stressing 'full category tree' and 'complete item catalog'.

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

Usage Guidelines3/5

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

It gives the prerequisite for the only parameter ('Cafe ids come from GET /panera/locations') and the failure mode ('unknown cafe id returns a 404'). However, it never contrasts this tool against siblings such as panera_catering_menu or panera_item_detail, so selection guidance is only implied.

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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