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hurricane_tracker

Read-onlyIdempotent

Currently-active hurricanes and tropical systems from NOAA NHC, with category, wind/pressure, current position, movement, and forecast cone link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
basinNoOptional basin filter: 'AL' (Atlantic), 'EP' (Eastern Pacific), 'CP' (Central Pacific).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare this read-only, idempotent, and non-destructive, so the description only needs to add context beyond safety. It adds the authoritative source (NOAA NHC), the active-storm scope, and a useful summary of returned fields. It does not mention update frequency or empty-result behavior, but those are secondary given the simple read-only nature.

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?

One tight sentence front-loads the key scope ('Currently-active') and packs source, data fields, and forecast link with no wasted words. It is easy to scan and well-structured.

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?

For a one-optional-parameter read-only tool, the description covers the essential calling context: source, temporal scope, and return content. Since there is no output schema, the field list is valuable. It is slightly incomplete in not saying what happens when no storms are active, but annotations and schema make the tool straightforward.

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?

The single optional basin parameter is fully documented in the input schema, so the description does not need to repeat it. The description adds no basin-specific semantics beyond the schema, so the baseline 3 applies.

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?

The description identifies a specific resource — currently active hurricanes and tropical systems from NOAA NHC — and enumerates the included data: category, wind/pressure, position, movement, and forecast cone link. It is clearly distinguishable from generic weather tools, though it lacks an explicit action verb.

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 word 'currently-active' implies a temporal use case: this tool is for live storms rather than historical data. However, the description does not name alternatives such as nws_active_alerts or weather_current, nor does it state when not to use this tool.

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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