quantaoptima_observe

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

With no annotations, the description carries the full behavioral burden. It discloses the Pro-license gate (a real access constraint) and describes the interpretability payload, and 'Inspect'/'Returns' implies a read-only operation. It does not confirm read-only status, whether a prior run must exist and what happens if none does, or any rate/credit behavior.

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 opening line is front-loaded with the verb, resource, and scope, and the return-value summary is efficient. The middle 'AI safety / interpretability' paragraph is somewhat rhetorical ('what the black-box optimizer is thinking') but still informative, and the Stripe link is a minor promotional intrusion.

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?

An output schema exists, so the description need not enumerate return fields, and it helpfully still characterizes the data. With no parameters and a Pro gate disclosed, the main omission is routing relative to the explain/audit/status siblings.

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 takes zero parameters (empty schema, 100% coverage), so per the baseline there is nothing for the description to compensate for. It correctly adds no spurious 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?

States a specific verb and resource: 'Inspect the optimization landscape from the last run', plus the returns ('how the optimizer explored the search space, where entropy concentrated...'). It is clearly distinct from mutation-oriented siblings like quantaoptima_optimize. However it never names or contrasts with the closest informational siblings (quantaoptima_explain, quantaoptima_audit), so a 4 rather than a 5.

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?

'from the last run' implies the tool is used after an optimization run, and the Pro-license note is stated. But there is no explicit statement of when to prefer this over quantaoptima_explain, quantaoptima_audit, or quantaoptima_status, and no when-not guidance. Usage is implied rather than specified.

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