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Crawlora MCP

panera_quantity_rules

Read-only

One Panera Bread cafe's active order-quantity limits -- promotional or supply-constrained items capped per order, each with the item ids it applies to and its day-offset window and max quantity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cafe_idYesRequired. Panera cafe id, from /panera/locations.

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 safety is covered. The description adds real behavioral context beyond them — that these are 'active' limits, that they are per-item and shaped as item-ids plus a day-offset window and max quantity. It does not say what an empty result means or whether limits are time-sensitive at call time, so it is solid but not rich.

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 front-loaded sentence that leads with the resource and then unpacks the relevant fields. Dense but every clause earns its place; no filler.

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 one well-documented required param, annotations covering the safety profile, and an output schema that explains return values, the description supplies everything an agent needs to call it correctly. Only the usage scenario is left implicit.

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?

Only cafe_id, with 100% schema description coverage ('Panera cafe id, from /panera/locations'). The phrase 'One Panera Bread cafe's' reinforces single-cafe scoping but adds no syntax or format detail beyond the schema. Baseline 3 is correct when the schema carries the parameter.

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?

States a specific resource with its scope: 'One Panera Bread cafe's active order-quantity limits,' and enumerates the payload (promotional/supply-constrained items, item ids, day-offset window, max quantity). It is convincingly clear about what is fetched, though it does not name a sibling to contrast against — unnecessary here since no sibling overlaps this resource.

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 purpose (retrieve per-cafe quantity caps), but there is no explicit when-to-use, when-not-to-use, or reference to any of the many panera siblings (menu, item_detail, upsell_suggestions). An agent can infer the scenario but gets no routing guidance.

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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