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OOBE-PROTOCOL

SAP MCP Server

meteora_createDLMMPool

Create a Discrete Liquidity Market Maker pool on Meteora with specified token pair, bin step, initial price, and liquidity.

Instructions

Create a Meteora DLMM (Discrete Liquidity Market Maker) pool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintXYesToken X mint
mintYYesToken Y mint
feeBpsNo
amountXNoRaw token amount (smallest unit)
amountYNoRaw token amount (smallest unit)
binStepYesBin step size (defines fee tier and price granularity)
creatorYesSolana public key (base58)
initialPriceYes
activationTypeNo
activationPointNo
priceRoundingUpNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the action (create pool) without mentioning side effects, permissions required, transaction costs, or any irreversible actions. This is insufficient for a complex mutation tool.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it sacrifices essential information. It is not well-structured with front-loaded key details; it simply states the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 11 parameters, no output schema, and no annotations, the description is inadequate. It does not explain return values, common use cases, or how parameters interact. The agent would lack sufficient context to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 55% schema coverage, the description should add meaning to parameters. It does not explain parameters like binStep, initialPrice, activationType, or feeBps beyond the schema. The description adds no extra value for understanding how to set these parameters.

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 clearly states the tool creates a Meteora DLMM pool, with the acronym expanded. While it distinguishes from other Meteora tools like adding liquidity or creating alpha vaults, it does not differentiate from createDynamicPool, which may also create a pool.

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?

The description provides no guidance on when to use this tool versus alternatives, such as when to create a DLMM pool versus a Dynamic pool. No prerequisites or conditions for usage are mentioned.

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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