Spin the podcast roulette

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

Annotations already declare readOnlyHint=true and idempotentHint=false. The description adds 'randomized' — which aligns with non-idempotence — but does not disclose what the tool returns, how randomization works, or any side effects. It offers some extra but limited behavioral context.

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 a single sentence — compact and front-loaded with the core action. However, the wording is somewhat poetic ('charts recycle forever') which, while memorable, adds little operational clarity.

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 9 parameters, no output schema, and 0% parameter documentation, the description is severely incomplete. An agent cannot reliably know what inputs are meaningful or what result format to expect, making successful invocation unlikely.

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 0%, so the description must compensate. It only mentions 'topic' as a filter, leaving 8 other parameters (seed, count, genre, intent, country, exclude, min_episodes, allow_explicit) entirely unexplained. This is far from adequate.

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 states a specific verb ('Discover') and resource ('podcasts'), and clarifies the niche ('long-tail', 'randomized probes'). It distinguishes itself from siblings like 'trending' by emphasizing non-chart discovery, though it doesn't name any sibling explicitly.

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 'Discover long-tail podcasts by topic' implies a use case for obscure discovery, but there is no explicit when-to-use vs. alternatives, no exclusions, and no pointer to sibling tools like 'trending' or 'peek'.

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