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

Annotations already declare readOnlyHint=true and idempotentHint=false, so the safety profile is covered. The description adds useful context by naming the analytics dimensions returned, but it does not disclose freshness, time-range behavior, rate limits, or response structure beyond the metric list.

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

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

The definition is a single, front-loaded sentence with no wasted words. It immediately states the action, resource, and included metrics.

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

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

For a read-only, single-parameter analytics tool, the description is largely complete because it lists the key metric categories returned. It could be stronger by specifying the historical window or response granularity, especially since no output schema is present.

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

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

The schema has 100% description coverage and fully documents the single 'asset' parameter with examples. The description reinforces that the tool operates on a specific pool but adds no syntax or format details beyond what the schema already provides, so baseline 3 is appropriate.

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

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

The description uses a specific verb ('Returns') and resource ('detailed analytics and statistics for a specific liquidity pool') and names the returned metrics (volume, fees, APY, historical metrics). It is clear what the tool does, but it does not explicitly distinguish itself from nearby siblings like get_pool, get_depth_history, or get_tvl_history.

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

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

The description provides no when-to-use guidance, no exclusions, and no alternative tool routing. It only implies usage by saying the statistics are for a specific pool, leaving the agent to infer when this is preferable to get_pool, get_depth_history, or get_tvl_history.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.