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Location & Demand Intelligence

MOIS Neighborhood Age Demand Scorer

mois-neighborhood-age-demand-scorer

Score neighborhoods from official resident age cohorts with customer-defined weights. 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
requestIdYesStable idempotency key without personal data.
cohortWeightsYesNon-overlapping inclusive age bands; age 110 means 110+.
peerAdminCodesYesTwo to 200 official codes; must include every target.
targetAdminCodesYesOne to 20 official 10-digit administrative-neighborhood codes to score.
maxTotalChargeUsdYesMaximum total run charge in addition to the platform cap.

TDQS

B3.3/5.0
Behavior3/5

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

The description adds useful context beyond annotations, including that it is unofficial, independent, and costs $0.02/call. However, despite readOnlyHint=false and openWorldHint=true, it does not disclose any side effects, external data access, or operational behavior.

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 extremely concise: two sentences deliver the core purpose and important independence/pricing disclaimers. Every word earns its place with no redundancy.

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?

The tool has no output schema, so the description should explain what the result of 'scoring' looks like; it does not. It also doesn't mention open-world behavior or data source handling. The description covers purpose and price but remains incomplete for a scoring service.

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 provides full coverage (100%) for all five parameters, so the description is not required to repeat them. The only semantic addition is 'customer-defined weights' which maps to cohortWeights, but no further parameter-specific meaning is added.

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 states the tool's function: scoring neighborhoods using official resident age cohorts and customer-defined weights. It distinguishes itself from the sibling MOIS solo-household scorer via the 'age' focus, though it doesn't explicitly name that sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool over the sibling scorers or other alternatives. There are no contextual cues, exclusions, or example scenarios.

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.

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