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get-cl-pool-incentives

Retrieve incentive details for Osmosis concentrated liquidity pools to analyze rewards and participation benefits.

Instructions

Returns incentive information for a CL pool

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
poolIdYesThe CL pool ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool returns information, implying it's a read operation, but doesn't disclose behavioral traits such as rate limits, authentication needs, or what 'incentive information' entails (e.g., format, scope). This is a significant gap for a tool with no annotation coverage.

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's appropriately sized and front-loaded, making it easy to parse without unnecessary elaboration.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'incentive information' includes (e.g., data structure, units) or behavioral aspects like error handling, leaving gaps for the agent to operate effectively in this context.

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?

The input schema has 100% description coverage, with 'poolId' clearly documented. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool's purpose ('Returns incentive information for a CL pool') with a clear verb ('Returns') and resource ('incentive information for a CL pool'), but it doesn't differentiate from sibling tools like 'get-pool-incentives' or 'get-incentivized-pools', making it somewhat vague in context.

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. With siblings like 'get-pool-incentives' and 'get-incentivized-pools', the description lacks context or exclusions, leaving the agent to infer usage based on the name 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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