simulate_season

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

With no annotations provided, the description carries full burden but only mentions the output estimate. It does not disclose whether the simulation mutates data, how long it runs, what inputs affect it, or any other behavioral traits. The term 'explicitly experimental' hints at an exploratory nature but is too vague to be informative.

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 a single short sentence, which is concise, but the phrase 'explicitly experimental' is awkward and structurally unclear. It could have been worded more clearly without sacrificing brevity.

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?

Despite having an output schema, the description is incomplete for a simulation tool with no annotations. It does not explain the simulation process, the meaning of 'experimental', or any edge cases. The agent likely needs more context to use this tool correctly, especially given the tool's complexity.

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 0% and the description does not mention any parameters. The schema's parameter titles ('Week', 'League Id', 'Simulations') are self-explanatory to some degree, but the description adds no semantics about how they influence the simulation or what values are appropriate. This leaves the agent without critical parameter insight.

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 states a specific action ('Estimate') and resource ('playoff and championship probabilities'), but the phrase 'explicitly experimental' is confusing and obscures clarity. It does not clearly differentiate from sibling tools like get_season_context or recommend_season_strategy, which might also involve probabilities.

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?

There is no guidance on when to use this tool versus alternatives, no exclusions, and no context about prerequisites (e.g., season must be initialized). The description only implies a generic use case without actionable direction.

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