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Crawlora MCP

kfc_menu

Read-only

One KFC restaurant's full priced menu grouped into categories (deals, combos, tenders, sides, drinks, etc.), with per-item price and image.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
channelNoOptional. Order channel the menu is priced for, one of WEB, MOBILE, POS, KIOSK, DOORDASH, UBEREATS, GRUBHUB, IOS, ANDROID, DELIVEROO, JUST_EAT, CALL_CENTER. Default WEB.
store_numberYesRequired. KFC's alphanumeric store number, from /kfc/stores or /kfc/nearby.

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

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds that the menu is category-grouped and priced with images, but with an output schema present it does not disclose anything beyond what structured fields imply.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single dense sentence that front-loads the resource and scope, with zero filler. Nothing redundant or padded.

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 values needn't be explained, and annotations cover safety. The description conveys the menu structure and contents; only the interaction with the channel parameter and the store-number prerequisite are 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?

Schema description coverage is 100%, so both store_number and channel are already documented, including the channel enum values and default. The description's 'priced menu' wording loosely supports the channel parameter but adds no syntax or format detail beyond the schema.

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 verb (retrieve), resource (full priced menu), and scope (one KFC restaurant), plus what the result contains (categories, per-item price and image). This clearly separates it from siblings like kfc_store, kfc_stores, and kfc_nearby.

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 you need a store's menu but never states when to use this tool versus kfc_store, kfc_stores, or kfc_promotions. The store_number sourcing hint lives in the schema, not the description, so usage is only inferable.

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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