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liquidation_risk

Monitor Solana lending pools approaching liquidation. Tracks utilization rates across Kamino, MarginFi, Drift, Solend, Save, and Mango. Returns risk levels (CRITICAL/HIGH/MEDIUM/LOW), market stress indicator, and per-protocol summaries. Costs $0.005 USDC per call.

Input Schema

NameRequiredDescriptionDefault
assetNoFilter by asset symbol (e.g. 'USDC', 'SOL')
protocolNoFilter by protocol (e.g. 'kamino', 'marginfi', 'drift')
riskLevelNoMinimum risk level: LOW, MEDIUM, HIGH, CRITICAL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations the description carries the full burden, and it does meaningful work: it discloses the return shape (risk levels CRITICAL/HIGH/MEDIUM/LOW, market stress indicator, per-protocol summaries) and the pricing model of $0.005 USDC per call — a real operational constraint the agent can't get elsewhere. It stops short of stating data freshness/refresh cadence or explicitly confirming the call is non-mutating.

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?

Four short sentences, front-loaded with the core purpose, then coverage, then return values, then cost. No filler and nothing an agent must wade through.

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 read-only, zero-required-param monitoring tool with no output schema, the description supplies return value categories and cost, which is most of what's needed. Missing are data freshness/caching behavior and how the filters interact, which matter for a near-real-time risk signal.

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?

Schema coverage is 100%, so all three filters (asset, protocol, riskLevel) are already documented in the schema with examples. The description adds nothing about filter behavior — e.g. whether riskLevel is a floor, whether filters combine with AND, or what an unfiltered call returns — so baseline 3 applies.

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?

States a specific verb and resource — monitoring Solana lending pools approaching liquidation — and enumerates the six covered protocols (Kamino, MarginFi, Drift, Solend, Save, Mango), which pins down scope. It is clearly a monitoring/risk tool rather than a rates or liquidation-history tool, though it never explicitly contrasts itself with siblings like lending_rates or recent_liquidations.

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

Usage Guidelines3/5

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

Usage is implied by 'monitor ... approaching liquidation,' so an agent can infer the scenario. There is no explicit when-to-use/when-not guidance and no alternative named, even though lending_rates and recent_liquidations cover adjacent ground.

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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