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

With no annotations, the description carries the burden of behavioral disclosure and does state that the result is scoped to the authenticated user's follows, implying authentication is required. It does not elaborate on return format or edge cases, but for a simple read-only list tool this is reasonable.

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, clear sentence with no filler or redundant information. It front-loads the verb and resource and does not repeat schema details.

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?

The tool is simple (no params, no output schema), and the description sufficiently explains what the tool returns: a list of the user's followed podcasts. It could specify the shape of each podcast item, but the description is likely adequate for an agent to select and invoke the tool correctly.

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?

The input schema is empty (0 params), and the description correctly implies that no arguments are needed because the output is determined by the authenticated user's follows. This meets the baseline for parameterless tools; the description adds context about how the implicit user scope drives the result.

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 'Get' and clearly identifies the resource: the list of podcasts the authenticated user follows on AudioAlpha. This distinguishes it from siblings like get_my_favorite_assets or search_podcasts by specifying both the object type (podcasts) and the scope (user's followed list).

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 description provides clear context that this tool is for retrieving the authenticated user's followed podcasts, making its use case evident. It does not explicitly name alternatives or exclusions, but the user-specific framing implies that tools like search_podcasts are for discovery rather than personal follows.

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