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

Annotations already flag this as non-read-only, non-idempotent, and destructive, so the safety profile is covered. The description adds substantive behavioral context beyond the schema: deterministic seeding (seed 11 shared across candidates so differences measure the move, not the dice), the mandatory 'play on SSA' method, and that the response names the engine. No contradiction with annotations.

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 purpose is reasonably front-loaded, but the text is a dense single block of em-dashes and stacked parentheticals, and the final sentence about the HTTP endpoint's eliminate/incidence/search methods is lengthy. It is informative but not tightly structured for quick scanning.

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?

With no output schema, the description mentions what the response contains (the engine name), and it covers inputs, prerequisites, method constraints, and the seeding model. For a scoring/simulation tool this is close to complete, with only the return payload's scoring shape left implicit.

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%, so all five parameters are already documented. The description adds conceptual framing for realizations (seeded SSA rollouts) and marking (the position to evaluate from), but does not extend syntax or format beyond the schema. Baseline 3 applies.

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+resource: scoring a player's legal next moves with the PLAY method via seeded SSA rollouts, and indicates which move scores highest. It clearly distinguishes itself from the HTTP evaluate endpoint's eliminate/incidence/search methods, though it does not differentiate from its sim_* siblings.

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?

It states prerequisites (needs the game schema with simulation.objective + simulation.players) and clarifies what the tool does NOT do (the elimination/incidence/search methods belong to the HTTP endpoint), which is useful boundary-setting. However, it gives no guidance on when to pick this over sibling tools like sim_optimize or sim_scenario.

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