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Crawlora MCP

justeat_restaurant_menu

Read-only

Just Eat (UK) restaurant menu with prices, grouped into categories.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unique_nameYesRestaurant slug, from a search response's unique_name field (required).

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 the safety profile is covered. The description adds the return shape (prices, categorized), which is useful, but says nothing about auth requirements, rate limits, or market/locale coverage beyond 'UK'.

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?

One compact sentence, front-loaded with the resource and its key attributes; nothing is wasted. It is perhaps overly terse given the missing usage guidance, but as written it is efficient.

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 values needn't be described, and annotations cover the safety profile; for a one-parameter read tool this is nearly sufficient. The only real gap is usage routing against sibling menu/search 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% and the single parameter's schema already explains it is a slug from a search response's unique_name field. The description adds no format or sourcing detail beyond what the schema provides, so the baseline 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 states a specific resource (Just Eat UK restaurant menu) and what it contains (prices, grouped into categories), so the agent knows exactly what comes back. It does not differentiate itself from siblings like justeat_restaurant or justeat_search, but the purpose itself is unambiguous.

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?

There is no statement of when to use this tool versus justeat_restaurant, justeat_search, or justeat_search_filters, and no mention of prerequisites such as obtaining the slug from a prior search. The agent must infer the usage context entirely.

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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