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Crawlora MCP

pizzahut_modifiers

Read-only

One Pizza Hut product variant's full build-your-own customization tree -- every slot (sauce, cheese, toppings, ...), every modifier, and every weight/placement option with its own real price delta.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNoOptional. Order channel the customization tree and pricing reflect, one of WEB, MOBILE, POS, KIOSK, DOORDASH, UBEREATS, GRUBHUB, IOS, ANDROID, DELIVEROO, JUST_EAT, CALL_CENTER. Default WEB.
store_numberYesRequired. Pizza Hut's store number, from /pizzahut/stores.
variant_codeYesRequired. A product's specific size/crust/style variant code, from /pizzahut/menu's variant_code or variants[].variant_code fields.

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 and openWorldHint, so the safety profile is covered. The description usefully adds that each modifier and weight/placement option carries its own real price delta, which is behavioral context beyond annotations, but it says nothing about channel-dependent pricing behavior, auth, or rate limits.

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 states the resource first and expands on contents. It is dense but every clause earns its place; no filler or repetition of the name.

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, the description need not explain return values, and all three parameters are fully documented in the schema while annotations carry the read-only profile. The only gap is the absence of when-to-use guidance relative to sibling menu/bundle tools.

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 channel, store_number, and variant_code (including their upstream sources). The description adds no additional parameter meaning beyond the field list, 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 a specific resource and scope: one Pizza Hut product variant's build-your-own customization tree, enumerating what it returns (slots, modifiers, price deltas). It is clearly distinct from pizzahut_menu (which supplies the variant_code), though it never names a sibling explicitly. An agent can tell what it fetches without guessing.

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 only implied: by describing a per-variant customization tree, it suggests this is the tool to call after picking a variant from the menu. There is no explicit when-to-use/when-not guidance and no routing to or away from alternatives such as pizzahut_bundle_choices or pizzahut_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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