explain_solution

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

The annotations already declare readOnlyHint=true and destructiveHint=false; the description reinforces this with 'without changing runtime state'. It adds the qualifier 'typed optimization result' but does not disclose behavior like whether it returns a summary, how it handles invalid inputs, or whether it requires an existing optimization context. Given annotation coverage, this is adequate but not rich.

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?

One concise sentence that leads with the action and resource, then adds the key side-effect guarantee. Every word earns its place with no unnecessary elaboration.

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 simple read-only explanation tool with one object parameter, annotations already covering safety, and an output schema available, the description covers the essentials. It could be more complete by referencing the relationship to optimize_scenario or describing the expected result object, but the current level is sufficient for basic invocation.

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 single 'result' parameter has no schema description, and schema description coverage is 0%. The description's phrase 'typed optimization result' gives only a high-level hint and does not explain the expected shape, fields, or constraints of the object. With zero parameter descriptions in either schema or description, the agent is left without meaningful parameter guidance.

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 ('Explain') and a specific resource ('typed optimization result'), and explicitly notes it makes no runtime state change. This clearly distinguishes it from the many mutating siblings like execute_plan, schedule_plan, or optimize_scenario. Even without naming a sibling, an agent can infer its role.

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 implies use whenan agent has a typed optimization result to inspect, and explicitly states it does not change runtime state, which excludes it from planning/execution workflows. It does not name alternative tools or provide explicit when-not conditions, but the context is still reasonably clear.

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