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insuranceoracle

natcat_history

Historical natural catastrophe statistics for risk modeling. Significant events by type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoRegion filter (optional)
event_typeNoEvent type: earthquake, flood, storm, fire (default: earthquake)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only says 'historical natural catastrophe statistics' and 'significant events by type' without explaining what 'significant' means, how the data is sourced, whether the output is a summary or raw list, or any limitations. This is minimal disclosure beyond the basic nature of the tool.

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 exceptionally concise: two short sentences with no filler. It front-loads the core concept 'historical natural catastrophe statistics' and adds a useful clarifying note about significant events. Every word serves a purpose, making it a model of conciseness.

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

Completeness2/5

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

With no annotations and no output schema, the description must provide sufficient context for the agent to know what to expect. It does not describe the output format, the meaning of 'significant', or how this tool differs from the sibling natcat_live beyond the obvious 'historical' keyword. Given the presence of several risk-related sibling tools, the description is under-specified.

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 input schema already describes both parameters fully, giving 100% schema description coverage. The description adds the phrase 'by type' which aligns with the event_type parameter, but it does not provide extra context about defaults, interactions, or how region filters the data. The value added over the schema is minimal.

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 clearly identifies the tool as providing historical natural catastrophe statistics, which distinguishes it from the sibling natcat_live by the word 'historical'. However, it lacks an explicit action verb like 'get' or 'retrieve', and the phrase 'significant events by type' is somewhat vague about the exact resource. Still, it is not a tautology and conveys the core purpose.

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 usage for risk modeling and the word 'historical' contrasts with natcat_live, so an agent can infer when to use it. However, there is no explicit statement of when to prefer this tool over alternatives, nor any exclusions or prerequisites. The guidance is implicit rather than direct.

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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