get_defaults

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

No annotations are provided, but the description transparently explains the merging behavior and precedence order, and implies the output includes source attribution. It is honest about what the tool does.

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?

Two concise sentences that front-load the primary purpose and then provide essential precedence context. No wasted words.

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?

The description explains the output concept (merged view with per-source attribution) but lacks details on the exact structure or example output. Without an output schema, a bit more detail would improve completeness, but it is still adequate for a no-parameter tool.

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 tool has zero parameters, and the input schema is empty. The description does not need to add parameter semantics; baseline score of 4 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 clearly states the tool returns the merged view of generation defaults with per-source attribution, and explains the precedence order. This is specific and distinguishes it from siblings like set_defaults.

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 explains when to use the tool to get the current defaults and provides precedence context. It doesn't explicitly say when not to use it, but the sibling list and contrasting tool (set_defaults) offer implicit guidance.

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