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

Annotations already mark it read-only, idempotent, and non-destructive. The description adds useful behavioral clarity: it returns ranked teams, probabilities, lean direction, and provenance. No side-effect or auth concerns are hidden.

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?

One dense, front-loaded sentence conveys the core object, scope, and return contents without filler. Everything is useful and no redundant schema detail is repeated.

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?

Given both parameters are optional and the tool is read-only, the description supplies enough about the return payload and domain. It does not explicitly state what happens when a board name is omitted/invalid, but that is a minor gap for this simple getter.

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 explains both parameters. The description adds a little context by previewing provenance as show/quote/timestamp, but does not materially expand parameter meaning beyond what the schema documents.

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 names a specific resource ('Podcast-consensus futures boards') and a clear output (ranked teams with consensus probabilities and provenance). The e.g. 'Super Bowl winner' and mention of lean direction make it distinct from sibling tools like get_live_odds or get_roster.

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 wording implies this is for podcast-derived futures consensus, but it never explicitly says when to choose this over siblings like get_live_odds or get_tips. No exclusions or alternative routing are given.

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