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DPX — Institutional Cross-Border Settlement

intelligence.subscribe

Register a webhook to receive alerts when a DPX intelligence signal crosses a threshold. Supported signals: stability (overall 0–100 score), cascade (shock propagation risk), macro_stress, climate, fx, or any. The cron checks hourly and fires the webhook on crossing — edge-triggered, not repeated every hour. Returns a subscriptionId for status checks and cancellation. Use for treasury alert systems, TMS integrations, or autonomous agent monitoring loops.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNoOptional label for your own tracking.
signalNoSignal to monitor. Default: stability.
directionNoFire when signal goes above or below threshold. Default: above.
thresholdYesScore value (0–100) that triggers the webhook.
webhookUrlYesHTTPS URL to POST alerts to.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
signalNo
deleteUrlNo
directionNo
statusUrlNo
thresholdNo
currentScoreNoSignal score at registration time
subscriptionIdNo

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false, but the description adds valuable behavioral details: the cron checks hourly, it's edge-triggered (not repeated), and returns a subscriptionId. This disclosure of polling frequency and triggering semantics goes beyond what annotations provide, though it could mention that the webhook URL receives POST requests and any error handling or retry 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 concise at three sentences, each serving a distinct purpose: first explains the action and supported signals, second details trigger behavior, third lists use cases. No redundant information; every sentence is necessary and front-loads the core purpose.

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?

Given the tool's complexity (5 parameters, 2 enums, output schema exists), the description covers the main purpose, supported signals, trigger behavior, and use cases. It does not explain the output schema's contents (likely includes subscriptionId), but since an output schema exists, that burden is reduced. It could improve by mentioning that the webhook must be HTTPS and that the tool creates a persistent subscription.

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 baseline is 3. The description adds value by explaining the supported signals in detail (overall 0–100 score, shock propagation risk) and the meaning of 'above'/'below' direction with a default. However, the description does not explicitly clarify that threshold is 0–100, which is already in the schema. The 'any' signal option is explained, adding context beyond schema enums.

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 clearly states the tool registers a webhook for threshold-based alerts on DPX intelligence signals. It lists the supported signals explicitly and distinguishes itself by specifying the type of intelligence subscription (threshold-based webhook) versus other sibling tools like intelligence.subscription.get or intelligence.subscription.delete.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool: for treasury alert systems, TMS integrations, or autonomous agent monitoring loops. It clearly distinguishes from siblings by implying the return of a subscriptionId for status checks and cancellation, which relates to intelligence.subscription.get and intelligence.subscription.delete. It does not explicitly state when not to use it, but the context of alerts and the sibling names make alternatives clear.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially within their domains (e.g., analytics, compliance, ESG, forecasting). However, a few tools like route and stability.stablecoin_route or settlement.quote and fx.cost_certainty may cause confusion despite distinct descriptions, and the large number of intelligence tools (cascade, aftershock, contagion, etc.) could lead to misselection without careful reading.

Naming Consistency3/5

Naming follows a domain prefix pattern (e.g., agent.kya_register, settlement.quote, esg.score), which provides some structure. However, inconsistencies exist: some tools use underscores (batch_settle, flow_check), others are single words (route), and the mix of verb_noun and noun_verb styles (e.g., compliance.pep_screen vs market.fx) reduces predictability.

Tool Count3/5

At 71 tools, the server is very broad in scope, covering compliance, ESG, forecasting, intelligence, treasury management, and more. While each tool seems justified for the complex institutional domain, the sheer number may overwhelm agents and makes the set feel bloated. A more focused scope or tighter tool grouping would improve appropriateness.

Completeness4/5

The tool surface is remarkably comprehensive for cross-border settlement, covering end-to-end workflow from quoting, FX analysis, compliance screening, ESG scoring, forecasting, and multiple payment rails (Mercury, Ramp, SWIFT). Minor gaps exist (e.g., no tool to update a settlement after execution), but core operations are well-covered, and the addition of integration and audit trails enhances completeness.

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