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get_product_info

Retrieve detailed nutritional values, ingredients, weight, and pricing for grocery products by searching product names or queries on Frisco.pl.

Instructions

Gets detailed info for a product: nutritional values (macros per 100g), weight/grammage, ingredients, and price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesProduct name or search query
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses what data is returned (macros, ingredients, price), which adds value, but omits read-only status, error handling behavior (e.g., what happens if product not found), or rate limiting.

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?

Single, efficient sentence with action front-loaded ('Gets detailed info') followed by colon-separated enumeration of return fields. Every word serves a purpose; no redundancy or filler.

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?

Given the lack of an output schema, the description effectively compensates by listing the specific data fields returned. However, it lacks error handling documentation and explicit differentiation from 'search_products' which would prevent misuse.

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% (the 'query' parameter is fully described as 'Product name or search query'), establishing a baseline of 3. The description focuses entirely on output semantics and adds no additional context about the input parameter syntax or format.

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?

Description uses specific verb 'Gets' with resource 'detailed info for a product' and enumerates exact data fields returned (nutritional values, weight, ingredients, price). The specificity distinguishes it from sibling 'search_products' (detailed single product lookup vs. search).

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

Usage Guidelines2/5

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

No guidance provided on when to use this versus sibling 'search_products' or prerequisites like authentication. The description implies usage but never states explicit conditions or alternatives.

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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