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flipkart_search

Scrape Flipkart search results by providing a Flipkart search URL. Returns product titles, prices, discounts, ratings, and more.

Instructions

Scrape Flipkart search result pages by passing any Flipkart search URL. Returns product titles, URLs, prices, discounts, ratings, and product IDs. [Credits: 5 API credits per successful request] Notes: No dedicated query parameter — pass a full pre-built Flipkart search URL (with the q= query string and any native Flipkart filters) via url. Returns: { search_results: [ { title, url, price, previous_price, discount, rating, ratings_count, reviews_count, features: [], image, product_id } ] }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL of the Flipkart search page to scrape (e.g., https://www.flipkart.com/search?q=laptops).
htmlNoReturn the full HTML of the Flipkart page instead of parsed JSON. (default: false)
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 discloses the credit cost (5 API credits) and the return format, but does not mention failure modes, rate limits, or explicitly state it is read-only. Adequate but not comprehensive.

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?

The description is concise, front-loaded with purpose, and every sentence adds value. It includes a note about credits and a sample return structure, all within a few sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the moderate complexity and lack of output schema, the description provides a complete picture: purpose, parameter usage, return format, and cost. The example return structure compensates for the missing output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds value beyond the schema by clarifying that the 'url' parameter must be a fully built search URL with q= parameter. The schema already covers both parameters with 100% coverage, and the description reinforces usage without adding redundancy.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it scrapes Flipkart search result pages and lists the returned fields (titles, prices, etc.). It distinguishes from siblings like flipkart_product by specifying search results.

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

Usage Guidelines4/5

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

The description explicitly says to pass a full pre-built Flipkart search URL via the 'url' parameter, providing clear usage guidance. It does not mention when not to use or list alternatives, but the context is clear.

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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