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Get product details

get_product
Read-only

Full details for one CheapestInIndia product: current price, MRP, store, retailer rating, a price-history summary (lowest/highest ever, verdict), other variants at the same store, and similar products elsewhere. Use the id from search_products.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "id": "<id>"
    },
    "name": "get_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesCheapestInIndia product id (from search_products, get_product or lookup_product_by_url)

Output Schema

NameRequiredDescriptionDefault
historyNo
productYes
similarYesSimilar products (other brands or stores)
variantsYesOther sizes/colours of the same product at the same store

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish read-only, non-destructive, closed-world behavior, so the safety profile is covered. The description adds that this is an aggregating single-record fetch that bundles price history, variants, and similar products in one call — a useful behavioral note — but says nothing about freshness, caching, or failure modes.

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 front-loaded sentence that names the resource first and then the payload; dense but no filler. The long comma-separated payload list is slightly harder to scan than bullets would be, but nothing is wasted.

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?

One required parameter with full schema documentation, an output schema, and annotations covering safety — so the definition only needed to establish scope, which it does. The one gap is that it does not clarify the boundary with get_price_history despite returning a price-history summary.

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 coverage is 100% and the schema itself already documents the id and its source tools, so the description's "use the id from search_products" mostly duplicates structured data. With one well-documented parameter, a baseline 3 is appropriate.

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 and resource ("Full details for one CheapestInIndia product") and enumerates exactly what is returned, which is far more informative than the title. It does not explicitly contrast with siblings like get_price_history or compare_products, despite bundling a price-history summary and similar products.

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?

"Use the id from search_products" gives a clear precondition and entry path, which is real guidance. However, it never says when to prefer this tool over get_price_history (for history) or compare_products (for comparisons), even though the outputs overlap.

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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