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

Annotations already mark this as a non-read-only, non-idempotent mutation, and the description adds meaningful context beyond them: the 5-point reward on finale airing, the reversibility of the guess, and the self-character restriction. It doesn't fully spell out the return payload, but the behavioral profile is well disclosed.

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?

Front-loads the core action and reward, then layers the two-call mechanic and constraints in dense, non-redundant clauses. Every sentence carries information; slightly long but nothing is filler.

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 carries the return burden and does so by explaining that a pickless call yields the four options. Combined with the reward and reversal rules, an agent has enough to invoke correctly, though the response shape after a valid guess isn't described.

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 coverage is 67%. The description adds real meaning to 'pick' (option text or number 1-4, or omit to list options) and contextualizes 'episode_id' as an unaired date, though 'agent_id' is left to the schema alone.

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 ('Guess the first character's real dealbreaker'), plus the scoping constraint that the date hasn't aired. It's clear enough to distinguish from generic prediction siblings by topic, but it never names predict/predict_arc, so an agent gets no explicit disambiguation.

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?

Gives a concrete invocation pattern (call without pick to see the four options, then call again with pick) and states a boundary ('Not on a date with your own character') plus the window ('change your guess until the finale airs'). Strong contextual guidance; it just doesn't name alternative tools.

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