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NeuralVerge Business Intelligence

Rakuten item

run_rakuten_items

Get one Rakuten Ichiba item by shop_code/item_code or URL: price range, subscription price, points, shipping, images, rating, category, shop and SKU variants. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemYesItem (shop_code/item_code) or URL. e.g. sawaicoffee-tea/ac-sale-1960

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses cost ('Flat 5 points per successful run') and enumerates return fields, but omits auth requirements, rate limits, and error behavior for an invalid code/URL.

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?

Two tight sentences: action first, returned fields second, cost last. No wasted words, though the field list is dense.

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 no output schema, enumerating returned fields (price range, points, shipping, images, rating, category, shop, SKU variants) meaningfully compensates. Missing only the identifier-to-error mapping and any labeling caveat.

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 parameter includes its own example. The description's 'shop_code/item_code or URL' merely echoes the schema without adding format or edge-case detail, so 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?

States a specific verb (Get), resource (one Rakuten Ichiba item), and identifier format (shop_code/item_code or URL), then enumerates the returned fields. 'One' implicitly distinguishes it from search/listing siblings like run_rakuten_items_search, but no sibling is named explicitly.

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 identifier format implies this is a direct single-item lookup, but the description never states when to use this over run_rakuten_items_search or run_rakuten_categories, nor any prerequisites. Usage is left to inference.

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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