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Crawlora MCP

burgerking_product

Read-only

Burger King item, combo, or picker full detail plus its customization tree: a combo's courses and swappable choices, a picker's size/variant choices, or an item's ingredient toggle groups and price deltas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketNoOptional. RBI market the store belongs to, one of US, CA. Default US.
item_idYesRequired. The item, combo, or picker id, from /burgerking/menu.
store_idYesRequired. Burger King's numeric store id, from /burgerking/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 the safety profile is covered. The description adds genuinely useful behavioral context about the return shape (customization tree, swappable choices, price deltas), which tells the agent this is a deep-detail call rather than a flat record. It does not mention auth, rate limits, or whether any choices are unavailable at a given store.

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 sentence that front-loads the resource ('Burger King item, combo, or picker full detail') before enumerating the customization variants. No filler or repetition. Dense, though the colon-list makes it a slightly heavy read.

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?

An output schema exists, so return-value enumeration is not required, and the description still usefully sketches the customization tree. Combined with 100% schema coverage and read-only annotations, an agent has what it needs to call this correctly. Only the lack of alternative-tool routing keeps it out of the top band.

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%, so the schema already documents market, item_id, and store_id including their source endpoints. The description's phrasing 'item, combo, or picker' for the item_id domain adds a little meaning, but on the whole it defers to the schema, which is the correct baseline-3 outcome.

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 a specific resource (Burger King item, combo, or picker) and states it returns full detail plus a customization tree, with concrete sub-cases (combo courses, picker variants, item ingredient toggles). An agent can distinguish this from burgerking_menu (listing) and burgerking_locations. It does not, however, explicitly name which sibling it supersedes, so sibling differentiation is implied rather than stated.

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 itself gives no when-to-use or when-not-to-use guidance. Usage is only inferable from the schema, where item_id is documented as coming 'from /burgerking/menu' and store_id 'from /burgerking/locations', which implies this is the follow-up detail call. That is a reasonable workflow signal but falls short of explicit routing.

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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