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Crawlora MCP

panera_item_options

Read-only

One Panera Bread menu item's selectable option groups: a combo's per-slot choices (e.g. pick your sandwich), or a single customizable item's topping/add-in amount choices (No/Light/Regular/Extra), each with pricing and allergens.

Input Schema

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

Output Schema

TableJSON 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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safe-read profile is covered. The description usefully adds that results carry pricing and allergens and that option groups are per-slot or amount-based, but it says nothing about return shape beyond that (largely covered by the output schema) or any further behavioral traits.

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?

A single dense sentence that front-loads the resource and enumerates the two cases with concrete examples. It is efficient, though the trailing 'each with pricing and allergens' clause slightly overloads the sentence.

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

Completeness4/5

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

With an output schema present and annotations covering the safety profile, the description needn't explain return values, and it does enough to convey what the tool returns and its two modes. Adequate for a simple two-parameter read, with only sibling disambiguation left unaddressed.

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 description coverage is 100% – both cafe_id and item_id are documented in the schema with their source endpoints. The description adds no parameter-level detail, so the baseline of 3 applies.

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

Purpose4/5

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

The description names the specific resource (one menu item's selectable option groups) and clarifies the two shapes it can take: a combo's per-slot choices vs. a customizable item's topping/add-in amounts. That is a clear verb-less retrieval purpose, but it doesn't explicitly distinguish itself from siblings like panera_item_detail or panera_quantity_rules.

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?

Usage is implied by the examples (picking a combo slot, choosing No/Light/Regular/Extra amounts), so an agent can infer when this is the right tool. However, there is no explicit 'use this when...' or named alternative to disambiguate from panera_item_detail or panera_menu.

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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