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Location & Demand Intelligence

AFAD Earthquake Operations Router

afad-earthquake-operations-router

Turn official AFAD events into distance-based asset and route actions. Unofficial, independent Actor; not affiliated with or endorsed by any named source publisher. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetsYesOne to 100 customer-owned operational points. Use opaque non-PII asset IDs.
maxAlertsYesReturns the highest-priority matching event–asset pairs, up to this limit.
requestIdYesUnique non-PII idempotency ID. Reusing it with changed inputs fails.
alertRadiusKmYesOnly event–asset pairs within this straight-line distance can become alerts.
maximumDepthKmYesEvents deeper than this are ignored.
inspectMagnitudeYesAt or above this magnitude a matching site receives inspect_asset_and_review.
minimumMagnitudeYesEvents below this AFAD magnitude are ignored.
rerouteMagnitudeYesAt or above this magnitude a matching route waypoint receives reroute_for_review.
maxTotalChargeUsdYesHard run cap checked before any alert claim or paid delivery.
maximumEventAgeHoursYesIgnores older rows even if they remain in the last-100 list.
pauseDispatchMagnitudeYesAt or above this magnitude a matching non-route asset receives pause_dispatch_and_review.

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already indicate the tool is not read-only, not idempotent, and not destructive. The description adds that it is an unofficial, independent actor not affiliated with the source publisher, and mentions a per-call cost. This provides some context beyond annotations, but does not disclose specifics about what actions are dispatched or how the routing behaves. No contradiction with annotations.

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: the first front-loads the core purpose, and the second provides a disclaimer and pricing. Every sentence adds value, with no wasted 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?

While the input schema is rich with parameter descriptions and contextual notes (e.g., mapping AFAD events to assets), the top-level description lacks an explanation of the output format or the nature of the 'actions' produced. There is no output schema, so a bit more context would help. However, the schema's own description mitigates some gaps, so this is minimally adequate.

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 the input schema fully documents all 11 parameters and their semantics. The description adds no additional parameter information, which is acceptable when schema coverage is complete. Baseline score of 3 applies.

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 'Turn official AFAD events into distance-based asset and route actions' clearly identifies the verb (turn), resource (official AFAD events), and output (distance-based asset and route actions). This distinguishes it from sibling scorer tools, which focus on scoring destinations and demand rather than operational routing.

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 processing AFAD earthquake event data into asset/route actions, but does not explicitly state when to prefer this tool over alternatives or provide exclusion criteria. There is no mention of alternative tools or conditions under which this tool should not be used.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools target distinct resources, but the two MOIS demographic scorers (neighborhood-age and solo-household) overlap in purpose and could be confused; both score demand based on age cohorts, and the distinction is subtle.

Naming Consistency3/5

Most tools follow a hyphenated source-description-suffix pattern, but 'pricing_info' breaks convention with snake_case and a different suffix style; internal structure also varies between 'demand-scorer', 'benchmark', and 'planner'.

Tool Count5/5

Seven tools is well-scoped for a location-demand bundle; each covers a distinct analytical function without redundancy, though the two demographic scorers could arguably be one.

Completeness4/5

The set covers key location intelligence factors (hazards, transit, demographics, property, traffic), but lacks a composite/aggregation tool or broader economic indicators; minor gaps exist but core workflows are supported.

Resources