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Aayat AI

Pool depth ($0.005)

pool-depth
Read-only

Liquidity-pool depth and slippage for a trade size on any token (8 chains incl. Base, Solana, Ethereum): each major pool's liquidity, fee tier and estimated price impact for your amount, the largest trade for 0.5/1/2/5% impact, and whether splitting across pools helps (with the split). Price: $0.005 in USDC per call (x402 or prepaid credits). In the free trial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBlockchain: base, solana, ethereum, bsc, arbitrum, polygon, optimism, avalanche.base
addressYesToken contract address (0x...) or Solana mint address.
amountUsdNoTrade size in USD.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
chainYes
poolsYesTop 10 pools with liquidity, 24h volume, fee tier, impact and max trade sizes.
splitNoWhether splitting helps, how much, and the legs.
ratingYesFrom the best pool's impact: deep ≤0.5%, ok ≤2%, thin ≤5%.
symbolNo
addressYes
bestPoolNo
amountUsdYes
checkedAtNo
maxTradeUsdNoLargest trade for 0.5/1/2/5% impact, best pool and split.
marketSourceNo
impactPercentYesEstimated impact in the best pool, and if split across pools by liquidity.
totalLiquidityUsdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations cover safety (readOnlyHint, openWorldHint, idempotentHint=false), so the bar is lowered, and the description adds genuinely useful context beyond them: the per-call price ($0.005 in USDC via x402 or prepaid credits) and the free-trial availability. It does not add rate limits or freshness/latency caveats, which would round this out.

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 capability statement is front-loaded and the pricing sentence is short and clearly separated. The first sentence is a long comma-run of clauses, but every clause maps to a real output, so it earns its length rather than padding.

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?

With an output schema present, the description need not explain return values, yet it usefully summarizes them; all three parameters are documented and the paid-access model is disclosed. The main omission is any routing guidance against the numerous crypto siblings, which for a paid tool is material.

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 already documents address, chain (with enum), and amountUsd (with bounds and default). The description mentions the chain set and the 'trade size' concept but adds no format, syntax, or interpretation detail beyond what the schema provides. Baseline 3 is correct.

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?

The description states a specific resource and scope: liquidity-pool depth and slippage for a given trade size on any token across eight named chains. It even enumerates the returns (per-pool liquidity, fee tier, price impact, trade sizes for 0.5/1/2/5% impact, split analysis). It never names a sibling (e.g., trade-precheck or token-price) to sharpen the boundary, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance, no when-not-to-use, and no named alternatives despite several overlapping siblings (trade-precheck, trade-precheck-deep, token-price, gas). The 'for a trade size' framing implies the use case but leaves routing entirely to inference.

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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