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Glama

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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations, explaining that the webhook is edge-triggered (fires once on crossing) and checked hourly, and that it returns a subscriptionId for later management. This goes beyond the basic read-only/idempotent/destructive hints and provides useful operational detail.

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, with only four sentences: purpose, supported signals, trigger behavior, and use cases. It is well-structured, front-loaded with the main action, and every sentence provides useful information without redundancy.

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?

For a webhook subscription tool, the description covers purpose, trigger behavior, supported signals, return value, and use cases. The output schema presumably handles return structure details. It lacks some advanced details like webhook authentication or retry behavior, but these are not essential for tool selection and invocation.

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 provides full descriptions for all 5 parameters (100% coverage), so the baseline is 3. The description reinforces the threshold score range and signal types but does not add significant new meaning beyond what the schema already states.

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 uses a specific verb ('Register') with a clear resource (webhook) and scope (DPX intelligence signal crossing a threshold). It also lists supported signals, which distinguishes it from sibling subscription management tools like intelligence.subscription.get and 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 Guidelines4/5

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

The description explicitly names relevant use cases ('treasury alert systems, TMS integrations, or autonomous agent monitoring loops'), providing clear context for when to use the tool. However, it does not explicitly contrast with alternatives or state when not to use it, so it falls short of a 5.

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

A3.6/5.0
Disambiguation2/5

Many tools have overlapping purposes, such as multiple stablecoin routing options (route vs stability.stablecoin_route), several compliance pre-checks (flow_check, policy.check, mercury.ach_authorize), and numerous FX/stability tools (oracle.stability, stability.corridor, market.fx, fx.rate). Even with detailed descriptions, the boundaries are subtle and an agent could easily select the wrong tool.

Naming Consistency3/5

The dot-separated namespace convention is mostly consistent and readable, but verb vs noun usage varies (e.g., settlement.execute vs batch_settle vs route). Subscription tools also mix forms (intelligence.subscribe vs intelligence.subscription.get/delete), showing minor inconsistency.

Tool Count1/5

81 tools is an extreme count for a settlement server. Even accounting for the broad 'institutional' scope, the volume overwhelms the core purpose and creates a heavy cognitive load for agents, far beyond the typical 3-15 well-scoped tool set.

Completeness3/5

The core settlement lifecycle is well-covered (quote, execute, track, receipt, batch), but there are notable gaps such as missing policy update/delete and no receipt retrieval (only create). While many tangential domains are over-covered, certain CRUD operations are absent, creating dead ends.