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empulse-ai

EMpulse Street FX Index

Official
by empulse-ai

Unmet payment demand

get_unmet_demand

Identify where payment demand in emerging markets goes unserved. Get a ranking of covered markets by unmet demand share and trend, or query one currency for its rank and trend.

Instructions

Where payment demand in emerging markets is not being served. Without a currency: the ranking of covered markets by the share of demand no rail served, with the trend. With a currency: its rank and trend (free level, one day behind); Pro keys of the Unmet Demand Map also get the unmet share, the not-connected share, the index against the 90-day norm, the reason classes and the hours of day, per direction and method class.

Input Schema

NameRequiredDescriptionDefault
currencyNoISO 4217 code; omit for the ranking

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and usefully discloses access tiers and freshness: the free level is one day behind, while Pro keys of the Unmet Demand Map receive additional breakdowns. It does not cover rate limits or auth requirements beyond the Pro-key distinction, but it adds meaningful behavioral context.

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 dense but front-loaded and efficient: it establishes the subject, then immediately contrasts the no-currency and with-currency behavior, followed by tier-specific details. Every clause adds useful information, and there is no filler.

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

Completeness5/5

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

Given the simple one-parameter schema, full schema coverage, and the presence of an output schema, the description is complete enough for an agent to call the tool correctly. It explains both modes, the free-tier lag, and the Pro-key additions, leaving no major ambiguity about expected behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds real semantic meaning by explaining how the optional currency parameter changes the response from a market ranking to a single-currency rank and trend. It also clarifies that omitting the parameter selects the ranking mode.

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 states a specific analytical resource — unmet payment demand in emerging markets — and clearly explains what the tool returns in both modes: a market ranking when no currency is supplied, or a single currency’s rank and trend when one is. This is sufficiently distinct from sibling tools such as get_stress_signals and get_rail_health.

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

Usage Guidelines4/5

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

It explicitly explains the two usage modes: omit the currency for the ranking, or provide a currency for that market’s rank and trend. It does not name alternative sibling tools or state when not to use this tool, but the operational context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.