analyzeProduct
Get AI-powered nutritional analysis of any food product by providing its name or barcode.
Instructions
Get AI nutritional analysis of a product
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| nameOrBarcode | Yes |
Get AI-powered nutritional analysis of any food product by providing its name or barcode.
Get AI nutritional analysis of a product
| Name | Required | Description | Default |
|---|---|---|---|
| nameOrBarcode | Yes |
Changes observed during successful MCP inspections.
v1.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description fails to disclose any behavioral traits such as data sources, analysis scope, or limitations, leaving the agent uninformed.
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 very short (9 words), which is concise but under-specified; it lacks structure such as front-loading critical information.
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?
Given the complexity of the domain (product analysis) and the presence of many sibling tools, the description is far too minimal to provide completeness, especially without output schema or parameter details.
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 parameter 'nameOrBarcode' is not described beyond its name; with 0% schema description coverage, the description adds no meaning to aid parameter usage.
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 uses a specific verb 'Get' and a distinct resource 'AI nutritional analysis of a product', clearly distinguishing it from siblings like 'getNutriScore' or 'getProductByBarcode'.
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?
No guidance on when to use this tool versus alternatives like 'getNutriScore' or 'compareProducts'; no context or exclusions provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.