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Glama

DPX — Institutional Cross-Border Settlement

esg.score

Read-onlyIdempotent

Get the live counterparty risk score (ESG-denominated) for a wallet address or the protocol default. Returns Environmental, Social, and Governance risk scores (0–100 each), composite weighted average, and the compliance-adjusted settlement fee percentage this score produces. Updated hourly from 6 institutional data sources: WorldBank, IMF, OECD, UN SDG API, ClimateMonitor, and SEC EDGAR. Required by EU SFDR Principal Adverse Impact reporting and CSRD financed emissions disclosure for institutional clients.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressNoWallet address (0x...) to score. Omit for protocol default.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierNoESG tier label
feePctNoESG fee percentage applied at settlement
socialNoSocial score 0–100
addressNoScored wallet address or "default"
sourcesNoData sources used
esgScoreNoComposite ESG score 0–100
updatedAtNoISO 8601 last update timestamp
governanceNoGovernance score 0–100
environmentalNoEnvironmental score 0–100

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description adds valuable context: it updates hourly from six institutional data sources and returns specific output components including the compliance-adjusted settlement fee percentage. This goes beyond the annotations and gives the agent a clear understanding of data freshness and output scope.

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 three sentences, each earning its place: purpose, return values, and data sources/use case. It is front-loaded with the core action and avoids redundancy.

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?

For a simple read tool with one optional parameter, an output schema, and strong annotations, the description is complete. It covers what is returned, how often data updates, where data originates, and why it is used (compliance). No critical information is missing.

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 schema has 100% parameter description coverage (the single 'address' parameter is fully described). The description's mention of 'for a wallet address or the protocol default' adds marginal value by contextualizing the optionality, but it does not introduce any new syntax or format details beyond what the schema already provides. Baseline 3 is appropriate.

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 gets a live ESG-denominated counterparty risk score for a wallet address or protocol default. The verb (Get), resource (counterparty risk score), and scope (wallet address or default) are specific, and the detail about returning individual E/S/G scores, composite average, and fee percentage distinguishes it from sibling ESG tools like esg.batch, esg.portfolio, and esg.trend.

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 provides clear context for when to use the tool, noting it is required for EU SFDR Principal Adverse Impact reporting and CSRD financed emissions disclosure. It does not explicitly name alternative tools or state exclusions, but the compliance use case is a strong implicit guideline.

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.