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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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint as true, so the bar is lower. The description adds real-time monitoring behavior and specifics about outputs (liquidity depth, price impact estimates, warning flags), which provides useful context beyond annotations. No contradictions.

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 a coherent paragraph of four sentences, front-loaded with the main purpose. Each sentence adds value: purpose, inputs/outputs, use case, and keywords. It is efficient but not overly verbose, appropriate for a tool with moderate complexity.

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 real-time monitoring across 12 exchanges and existence of an output schema, the description covers inputs, outputs, and use case sufficiently. It doesn't explain error handling or edge cases, but those are likely covered by the output schema and annotations. Overall complete for its complexity.

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 baseline is 3. The description reiterates that inputs include 'slippage thresholds and exchange selection' and outlines outputs, but does not add significant semantic meaning beyond what the schema already provides for each parameter.

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 verb 'monitors' and the resource 'x402-USDC liquidity depth across 12 exchanges', with specific outputs like slippage alerts and depth analysis. It distinguishes itself from sibling tools like 'usdc_x402_payments_intel' and 'x402_payment_flow_analyzer' by focusing on liquidity monitoring and depth analysis.

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 states the tool is 'essential for optimizing trade execution and managing liquidity exposure' and mentions it is for 'CFO liquidity risk assessment'. It implies use cases but does not explicitly state when not to use or provide alternative tools, though the context is 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

C2.5/5.0
Disambiguation2/5

With 271 tools, many have overlapping purposes (e.g., multiple competitor intel tools, multiple financial modelers, multiple ESG auditors). Detailed descriptions help slightly, but the sheer volume creates confusion. Agents would struggle to select the right tool among many similar options.

Naming Consistency1/5

Tool names are wildly inconsistent: mix of English and French, snake_case and short phrases, some very generic (process, run, execute equivalents). No discernible naming convention (e.g., abm_architect vs. boundary_control vs. bp_narratif). This makes it hard to predict tool names.

Tool Count1/5

271 tools is far beyond typical well-scoped servers (3-15). This indicates an unfocused, over-bloated tool surface. Even for a general business intelligence server, this number is excessive and violates the principle of each tool earning its place.

Completeness2/5

Despite the large count, coverage feels scattered. Some domains (e.g., content, competitive intel) have many tools, while others (e.g., supply chain, HR) have gaps. The set lacks a coherent scope; it seems like a dump of many separate tool collections rather than a complete, curated surface.

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