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

readOnlyHint already covers the safety profile. The description adds the HTTP endpoint and the response envelope ({ list }), which is useful context, but it does not disclose pagination, limits, ordering, or what a feature object contains. No contradiction with annotations.

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?

Three short sentences, each earning its place: purpose, endpoint, return shape. The most decision-relevant information is front-loaded.

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 zero-parameter read-only list tool, the description covers purpose, scope, endpoint, and response wrapper. It stops short of describing item structure or pagination, but the output schema is absent and a sibling get_feature exists for details.

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 input schema has zero parameters, so the baseline is 4. The description's 'current environment' phrase clarifies the implicit scope even though there is nothing to configure at call time.

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 and resource ('List all features in the current environment'), and the 'all' scope separates it from get_feature and other list_* siblings. Adding the Autumn API endpoint reinforces the tool's identity.

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 'List all features' implies use when you want the complete feature set, but the description never contrasts it with get_feature or states when not to use it. Alternatives are only discoverable via sibling names, not by explicit guidance.

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