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Crawlora MCP

foodpanda_restaurant_menu

Read-only

foodpanda restaurant menu with prices grouped into categories, plus opening hours, price range, cuisines served, and aggregate rating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesRestaurant code, from a search response's code field (required).
marketNoDelivery Hero market the restaurant belongs to: sg, pk, bd, hk, my, ph, la, kh, tw, or mm. Defaults to sg.

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

B3.2/5.0
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 usefully discloses what data is returned (hours, price range, cuisines, rating), but adds nothing about auth, rate limits, or error behavior.

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 lists the payload contents with zero filler. Efficient, though it omits any routing or precondition sentence that would earn a 5.

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 and 100% parameter coverage, the description need only orient the agent; it does so by summarizing the menu payload. The only real gap is the absence of sibling routing.

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 'code' and 'market' are fully documented in the schema. The description contributes no additional parameter meaning, making the baseline 3 correct.

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 verb and resource ('foodpanda restaurant menu with prices grouped into categories') and enumerates the returned content. It implicitly separates itself from foodpanda_restaurant_reviews/foodpanda_search, but never names a sibling, so an agent must still infer which foodpanda tool to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance and no alternatives named. The agent gets no help deciding between this, foodpanda_restaurant, and foodpanda_search.

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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