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

No annotations are provided, so the description carries the full behavioral burden. It only states a perspective and omits what the tool actually does with the input, what kind of output to expect, whether it is read-only, or any limitations. This leaves the agent guessing about the tool's 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 description is one short, front-loaded sentence with no wasted words. It is appropriately sized as a hook, though its extreme brevity contributes to gaps elsewhere.

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?

There is no output schema and no annotations, and the description does not explain what to expect from the analysis or when to choose this framework. For a tool competing with 18 siblings in a decision-analysis suite, this is under-specified for correct selection and 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?

Schema description coverage is 100% for the single 'input' parameter, which is already fully described as 'Your problem, decision, project, or question to analyze with this framework.' The description adds no further parameter meaning, so the baseline of 3 applies when the schema does the heavy lifting.

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 names the core lens ('80-year-old self's vantage point') and, together with the tool name, makes the regret-minimization framework identifiable. It is clear enough to distinguish from siblings like run_pre_mortem or run_inversion, but it lacks a concrete verb+resource phrase such as 'analyze a decision using regret minimization.'

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?

No guidance is given on when to use this framework versus alternatives. With 18 sibling frameworks available, the description does not state context, exclusions, or conditions that would select this tool over run_inversion, run_second_order_thinking, or others.

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