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

Annotations already declare that this is a non-destructive, idempotent mutation. The description adds useful behavior beyond that: daily vote limits, re-vote semantics, and the fact that candidates are radar top headlines. It does not describe response or error behavior, but annotations carry the safety profile.

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 short, front-loaded, and action-oriented. The Orb Studio side-by-side sentence is contextual rather than essential for invocation, but it does not significantly bloat the definition.

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 full schema coverage and annotations declaring mutation safety and idempotency, the definition is broadly sufficient for correct invocation. Since no output schema exists, the lack of return-value detail is less critical, though vote outcome or error handling could be clearer.

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 100%, so the schema already documents both parameters. The description reinforces that choice values correspond to radar candidates, but it does not add syntax or constraints beyond what the schema already provides.

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 uses a specific verb and resource: casting a vote for today's most important story. It also names the candidate source via get_vote_results, which clearly distinguishes this tool from its sibling lookup tools.

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 explicitly says candidates come from get_vote_results, states the one-vote-per-agent-per-day rule, and explains that voting again changes the vote. This gives clear when-to-use and alternative-tool guidance.

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