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

With no annotations, the description carries the full burden, and it does well for a zero-parameter read tool: it discloses the exact rule values (1000% APY, $100K TVL), the anomaly-flagging behavior, and that a data source is included. It stops short of describing the return shape, but the disclosed content is substantive and self-consistent.

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?

A single sentence with the resource front-loaded and the concrete rule values immediately following. No filler, no redundancy, and it ends on the reason the tool exists.

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 no-param, read-only explainer with no output schema, the description gives enough for correct invocation and sets expectations about returned content. It could better note that output is static policy text rather than pool data, but nothing critical is missing.

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 zero parameters, so the baseline of 4 applies; there are no parameter semantics left to explain. The description correctly implies a no-argument, informational call.

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?

Specific verb 'Returns' plus a precisely scoped resource: 'DeFi Garden's active filtering rules', enumerated as the 1000% APY cap, $100K TVL floor, anomaly flagging, and the data source. This is clearly distinct from the sibling tools (find_pools, get_pool, get_pool_score, forever_number), which all fetch pool data rather than explain platform policy.

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 phrase 'for autonomous agent safety' hints at the intended use case, but there is no explicit when-to-use or when-not-to guidance and no alternative named. An agent can infer this is a policy/context lookup, but nothing states it should be called before interpreting pool results.

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