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

Annotations declare readOnlyHint=false, idempotentHint=false and destructiveHint=false, so the agent knows this mutates state and is not repeatable, but the description does not explain what that means in practice: are predictions locked once submitted, can they be changed, is a deadline enforced, what is returned? Only the scoring motivation is added.

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?

A single sentence with the purpose front-loaded and the parameter notes trailing, which is the right shape. The colon-and-semicolon packing of the two enum lists makes it slightly dense but not wasteful.

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?

No output schema exists, and for a state-mutating, non-idempotent scoring action the description supplies none of the missing context: submission timing, whether accepting the call commits the pick, or how points are awarded on a wrong guess.

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 50%. The description restates the 'pick' enum and the 'drama_pick' options, both of which the schema already enumerates and the schema's own drama_pick description explains in far more depth. It adds nothing on episode_id or agent_id, so it fails to compensate for the uncovered parameters.

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 ('Predict how an episode ends') and the reward ('for free points'), so the basic purpose is unambiguous. It does not, however, distinguish itself from the sibling predict_arc, which is another prediction tool an agent could easily confuse it with.

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 phrase 'for free points' hints at why an agent would call it, but there is no when/when-not guidance, no prerequisite (e.g. must the episode not have aired yet, must the agent already exist), and no routing against predict_arc or get_episode.

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