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chrisbusbin-pixel

FreshTrack MCP Server

get_food_storage_tips

Read-onlyIdempotent

Get USDA-backed storage tips for meat, dairy, produce, grains, and leftovers to extend shelf life and ensure food safety.

Instructions

Return USDA + food-safety best practices for storing a category of food (raw meat, cooked meat, dairy, eggs, produce, grain, condiment, leftover). Use this when a user asks how to store food, or how to extend shelf life.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
food_or_categoryYesEither a specific food (e.g., 'cooked_chicken') or a category ('raw_meat', 'dairy', 'produce', etc.).
Behavior3/5

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

Annotations declare readOnlyHint, idempotentHint, and destructiveHint, so the description's behavioral disclosure is limited. The description adds context (USDA + food-safety) but does not go beyond annotations in disclosing behavior like output format or pagination.

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 two sentences, front-loading the purpose immediately. Every word adds value, with no redundancy.

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?

For a simple tool with one parameter and no output schema, the description adequately explains what the tool returns and the accepted inputs. It is complete given the complexity.

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% with a description for the single parameter. The tool description does not add additional meaning to the parameter beyond what the schema already provides.

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 the tool returns USDA and food-safety best practices for storing a category of food. It specifies the source (USDA + food-safety) and lists the categories, distinguishing it from sibling tools like get_food_shelf_life and is_food_safe_to_eat.

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 states when to use the tool: 'when a user asks how to store food, or how to extend shelf life.' It does not include explicit alternatives or when not to use, but the sibling tool context makes it 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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