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market_price_risk

Assess price volatility risk in product categories across markets. Returns low, moderate, or high risk levels with signals from price dispersion, promo intensity, and staple momentum.

Instructions

[Intel] Price Risk Intelligence — which categories are becoming volatile? Returns risk level (low/moderate/high) with supporting signals from price dispersion, promo intensity, and staple momentum.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countryNoPE, AR, MX, BR, CO, CL
lineNosupermercados, farmacias, electro
daysNoAnalysis window in days
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions the output (risk level and signals) but does not disclose behavioral traits such as read-only nature, authentication requirements, rate limits, or any side effects. Minimal disclosure.

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 a single, well-structured sentence that front-loads the purpose and concisely details the output. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description should compensate. It explains the risk level and signals but lacks specifics on output format, whether results are per category or aggregated, and the meaning of the supporting signals. Decent but incomplete.

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 description coverage is 100%, so baseline is 3. The description adds context about the tool's output but does not elaborate on individual parameters beyond what the schema provides. Adequate but no extra meaning for parameters.

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 provides price risk intelligence, returning a risk level (low/moderate/high) with supporting signals. It uses specific verbs and resources, and the purpose is distinct from siblings like market_price_alerts or market_trending.

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?

The description implies use when seeking category volatility, but does not explicitly state when to use this tool versus alternatives or provide exclusions. No guidance on when not to use.

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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