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NeuralVerge Business Intelligence

Flipkart Product

run_flipkart_product

Get full Flipkart product details by item id or product URL: title, brand, price, MRP, discount, images, color, rating, category, breadcrumbs, availability, condition and recent reviews. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesItem ID or product URL. e.g. itm235cd318bde73

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It helpfully discloses the billing cost ('Flat 5 points per successful run'), but says nothing about authentication, rate limits, or what happens when an id is invalid or the product is unavailable.

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?

One tightly packed sentence leads with the action and input, then lists outputs, with the cost note appended last. Nothing is wasted or buried.

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?

For a single-parameter read tool with no output schema, enumerating the returned fields is genuinely useful to the agent. Only the lack of error/edge-case behavior keeps it from being fully complete.

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?

There is a single required parameter with 100% schema coverage, including an example value ('itm235cd318bde73'). The description's 'by item id or product URL' repeats what the schema already states, adding no format or validation detail beyond it; 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) and resource (Flipkart product details) and enumerates the returned fields, which implicitly separates it from run_flipkart_product_search and run_flipkart_product_reviews. It never names those siblings explicitly, so differentiation is inferred rather than stated.

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?

Usage is only implied: the agent must already know it needs a product identifier or URL. There is no statement of when to prefer this over the search or reviews siblings, nor any exclusion about identifiers that won't resolve.

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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