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discover_pools

Find Cardano DEX liquidity pools for specific native tokens using Iris API data to analyze trading opportunities.

Instructions

Discover Cardano DEX liquidity pools for a native token via Iris API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesCardano token symbol (INDY, SNEK, MIN, NIGHT)
Behavior2/5

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

With no annotations, the description carries full burden but lacks behavioral details. It doesn't disclose if this is a read-only operation, potential rate limits, error conditions, or what the output might look like (e.g., list of pools with details). The description is minimal and adds little beyond the basic action.

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 a single, efficient sentence with zero waste. It front-loads the key information (action and resource) and avoids unnecessary details, making it easy to parse quickly.

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 no annotations and no output schema, the description is incomplete for a tool that likely returns complex data (e.g., pool listings). It doesn't explain return values, error handling, or behavioral traits, leaving significant gaps for the agent to operate effectively.

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 the single parameter 'symbol' with examples. The description adds no additional meaning beyond implying it's for a native token, which is redundant with the schema's examples. Baseline 3 is appropriate as the schema does the heavy lifting.

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 action ('Discover') and resource ('Cardano DEX liquidity pools for a native token'), specifying it operates via the Iris API. It distinguishes from siblings like get_orderbook or get_ticker by focusing on pools rather than orders or prices, though it doesn't explicitly contrast with them.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites, such as needing a token symbol, or differentiate from similar tools like get_ticker, leaving the agent to infer usage based on the purpose alone.

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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