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Crawlora MCP

grubhub_restaurant_reviews

Read-only

Grubhub restaurant reviews and 1-5 star histogram, including the menu items each review is attached to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoOptional. 1-based page number, default 1.
sortNoOptional. timeCreated_desc (most recent) or ratingValue_desc (highest rated). Default timeCreated_desc.
page_sizeNoOptional. Reviews per page, 1-50, default 20.
restaurant_idYesRequired. Grubhub's numeric restaurant id.

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 agent knows this is a safe read. The description usefully discloses return content (star histogram, menu-item linkage), but says nothing about pagination limits or ordering behavior, which the schema partially covers. With annotations covering safety, a 3 is appropriate.

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 tight sentence that front-loads the resource and appends the notable extras (histogram, menu-item association). No filler, though it could be slightly more structured.

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 need not be explained in prose. For a simple paginated read tool, the description plus schema and annotations cover what an agent needs, with only minor gaps around when to choose it over sibling 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 page, sort, page_size and restaurant_id are all self-documented. The description adds no syntax or format detail beyond the schema, 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 verb+resource ('Grubhub restaurant reviews') and adds scope details (1-5 star histogram, menu items each review is attached to). It is clearly distinguishable from siblings like grubhub_restaurant or grubhub_restaurant_menu, though it does not name them explicitly.

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 guidance, no mention of alternatives (e.g., grubhub_restaurant for general info), and no prerequisites such as needing a restaurant_id from a search. Usage is only implied by the tool name.

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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