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

No annotations exist, so the description carries the full burden, and it does disclose the 36-month ceiling plus the important interpretive caveat that zero-filled months mean 'not detected', not 'stopped advertising'. It omits operational traits such as permissions, rate limits, and latency.

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?

Three tight sentences: the resource and metrics first, the use case second, the interpretation caveat last. No filler and the most decision-relevant facts are front-loaded.

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 still names the returned dimensions (shows, ad reads, organic mentions, month by month) and the zero-fill convention, which is enough to interpret results. A brief note on how trends are ordered or bounded by available data would close the remaining gap.

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% and both parameters are documented there (brand as name/slug/domain, months default 12, max 36). The description only echoes the 36-month cap without adding format or parsing guidance, so baseline 3 applies.

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 resource (a brand's podcast advertising) and the exact metrics returned (shows reached, ad reads, organic mentions) at monthly granularity. That detail implicitly separates it from get_brand_podcasts and get_show_sponsors, but it never names or explicitly contrasts with a sibling.

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 clear use context with two concrete example questions ("is this brand spending more?", "when did they start?"), which tells the agent this is the trend/history tool. It stops short of naming an alternative tool or stating when not to use it.

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