search_shopping
Search Google Shopping for products with prices, sellers, ratings, and links. Price: $0.015
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of results (default: 10, max: 20) | |
| query | Yes | Product search query |
Search Google Shopping for products with prices, sellers, ratings, and links. Price: $0.015
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of results (default: 10, max: 20) | |
| query | Yes | Product search query |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses the output content (prices, sellers, ratings, links) and the cost ($0.015), but does not mention rate limits, authentication, or side effects. As a read-only search tool, the absence of explicit safety info is a gap, but the output description adds some value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that states the action and expected results, followed by the cost. No wasted words; every element is informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple search tool with 2 parameters and no output schema, the description is nearly complete—it gives purpose and return contents. It lacks details like regional restrictions or result ordering, but these are minor given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers both parameters with descriptions (100% coverage). The description adds no additional meaning about parameter formatting or usage beyond what the schema provides, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Search'), the resource ('Google Shopping'), and the return contents ('prices, sellers, ratings, and links'). This distinguishes it from sibling search tools like search_web or search_images.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for shopping-related product queries but does not explicitly state when to use this tool over alternatives like search_web. No exclusions or alternative names are mentioned, so guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.