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aries_pools

List Alkanes AMM liquidity pools with reserves, TVL, and 24h volume for a given factory.

Instructions

List Alkanes AMM liquidity pools with details (reserves, TVL, 24h volume, trending) for a factory, via the Subfrost REST API (get-all-pools-details). factory defaults to 4:65522 (the documented AMM factory); if that returns 0 pools, pass your AMM factory's block:tx.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
factoryNoAMM factory alkane id "block:tx" (default "4:65522")
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It mentions the API call and default behavior but does not disclose rate limits, authentication requirements, or whether the operation is read-only. Transparency is moderate.

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?

The description is extremely concise: two sentences with no wasted words. The main purpose is front-loaded, and the usage hint follows immediately. Every sentence earns its place.

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 simple tool with one optional parameter and no output schema, the description is sufficiently complete. It covers the default behavior and a key edge case. The only gap is the absence of return format details, but it's not critical given the simple input.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by explaining the default value for 'factory' and when to override it, providing context beyond the schema.

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 lists Alkanes AMM liquidity pools with specific details (reserves, TVL, etc.) for a factory. It includes the API endpoint and default factory. However, it does not explicitly distinguish from sibling tool 'aries_pool_info', which might cause confusion.

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?

The description provides a conditional usage hint (use custom factory if default returns 0 pools) but does not explain when to prefer this tool over alternatives like 'aries_pool_info' or others. Usage context is implied but not explicitly guided.

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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