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Current outdoor health risks

get_environmental_risk
Read-only
Get outdoor environmental health risks at a location right now, from live weather, air
quality and elevation. Each risk has a score (0=none, 1=low, 2=medium, 3=high), a 1-2
sentence summary and safety tips. Status 'not_applicable' means conditions don't create
that risk; 'unavailable' means data was missing.

Input Schema

NameRequiredDescriptionDefault
latitudeYesLatitude in decimal degrees, e.g. 37.7749
risk_idsNoOnly assess these risks; omit for all. sunburn = UV; heat-illness = heat and humidity; breathing-problems = air quality; high-altitude = elevation; frostbite and hypothermia = cold and wind chill; lightning = thunderstorms.
longitudeYesLongitude in decimal degrees, e.g. -122.4194
include_tipsNoInclude safety tips for each risk. Set false for shorter answers, e.g. when comparing places.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With readOnlyHint and openWorldHint already declaring the safety profile, the description adds genuinely useful behavioral context: the 0-3 score scale, the meaning of 'not_applicable' vs 'unavailable', and that tips accompany each risk. There is no output schema, so this return-value semantics disclosure is doing real work. It stops short of describing response shape or how missing data is surfaced beyond the status label.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences: purpose and data sources first, then the score legend, then the status legend. No filler. Slightly compressed into one long line, but every clause earns its place.

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?

With no output schema, the description correctly carries the burden of explaining return values, and it covers the score scale, per-risk summary/tips, and the two status sentinels. It omits error behavior and the exact response structure, which an agent constructing a result parser might want, but for call decisions it is largely complete.

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%: latitude/longitude bounds and the risk_ids enum with per-risk explanations are all documented in the schema. The description only alludes to 'at a location' and adds no parameter-level detail beyond that, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (get environmental health risks), the input source (live weather, air quality, elevation), and the temporal scope ('right now'). The 'right now' wording implicitly separates it from get_environmental_risk_forecast, but the sibling tool is never named, so differentiation is inferential rather than explicit.

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?

Usage is implied by the temporal scope: this tool is for current conditions, the sibling for forecasted conditions. However, the description never names the alternative or states when to prefer one over the other, and no prerequisites (e.g. needing a geocoded location) are given. Minimum-viable guidance.

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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