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x402_liquidity_monitor

Read-onlyIdempotent

Monitors real-time x402-USDC liquidity depth across 12 decentralized and centralized exchanges, providing slippage alerts and depth analysis for CFO liquidity risk assessment. Inputs include slippage thresholds and exchange selection; outputs liquidity depth, price impact estimates, and warning flags. Essential for optimizing trade execution and managing liquidity exposure. Keywords: liquidity monitoring, slippage analysis, DEX/CEX depth, x402-USDC pair, CFO financial tooling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
exchangesNoList of exchanges to monitor (defaults to all 12 if empty)
depthLevelsNoLiquidity depth levels to analyze (percentage from mid-price)
slippageThresholdYesMaximum acceptable slippage percentage (0-100)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesYes
midPriceNoCurrent x402-USDC mid-price
warningsYes
priceImpactNo
liquidityDepthYes
slippageAlertsYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and openWorldHint=true. The description adds behavioral context such as real-time monitoring, coverage of 12 exchanges, and outputs including liquidity depth, price impact estimates, and warning flags. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with three sentences plus a keyword list. It is front-loaded with the core function. The 'Essential for' sentence and keyword list add some redundancy but are not overly verbose.

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 4 parameters, 12 exchanges, and an output schema, the description sufficiently covers inputs, outputs, and use case. It does not need to enumerate exchange names or return fields, as these are already in the schema.

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 description coverage is 100%, so the schema fully documents each parameter. The description mentions slippage thresholds and exchange selection but does not explain depthLevels or async beyond what the schema 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 monitors real-time x402-USDC liquidity depth across 12 exchanges, providing slippage alerts and depth analysis. The verb 'monitors' is specific, the resource is well-defined, and it is distinct from sibling tools like x402_payment_flow_analyzer and x402_payment_fraud_detector.

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: it is for CFO liquidity risk assessment and optimizing trade execution. It does not explicitly mention when not to use it or name alternatives, but the use case is well-implied.

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

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.