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Crawlora MCP

panera_menu

Read-only

One Panera Bread cafe's full category tree and item catalog, priced for that specific cafe (prices are genuinely per-cafe), with published nutrients (Calories and Caffeine only), allergens, wellness labels and live in-stock status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cafe_idYesRequired. Panera cafe id, from /panera/locations. Prices, availability and live stock status are specific to this cafe.

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

A3.9/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint, so the description carries useful extra context: prices are per-cafe, nutrients are limited to Calories and Caffeine, and stock status is live. This meaningfully sets expectations about data scope. It doesn't describe output structure or pagination, keeping it short of a 5.

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 core resource and appends qualifiers about pricing, nutrients, allergens, and stock. Every clause carries information, though the run-on length slightly hurts readability.

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, return structure needn't be explained, and the description covers per-cafe pricing, limited nutrient coverage, allergens, and live stock. Complete enough to call correctly; the only real gap is routing guidance among siblings.

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% and the sole parameter is fully documented, so the baseline is 3. The description reinforces that pricing and availability are cafe-specific, adding marginal meaning over the schema but no format or syntax detail.

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 resource ('full category tree and item catalog') scoped to one cafe, which clearly distinguishes it from sibling tools like panera_item_detail, panera_locations, and panera_catering_menu. An agent can tell what it returns without opening the schema.

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?

The description implies usage (need one cafe's menu), but never explicitly states when to use this versus panera_item_detail or panera_locations, nor that cafe_id must be sourced from panera_locations (only the schema says that). Usage is inferable but not spelled out.

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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