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

With no annotations, the description carries the full burden. It does disclose three useful traits: the return format (rows markdown), the fact that nothing is persisted, and the auth dependency (Nova API key in AR Settings). It says nothing about latency/cost of a model-backed generation, failure modes, or whether output is deterministic, which matter for a generative tool.

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?

Two compact sentences with zero filler; the core action comes first and the workflow/auth caveats follow in the parenthetical. Nothing is repeated from the schema.

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?

There is no output schema, but the description partly compensates by stating the return is markdown rows. However, for a 5-parameter generative tool with no annotations, leaving the three required parameters undefined means an agent cannot confidently construct a correct call from this definition alone.

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 40%: generate_channels and notification_message are documented in the schema, but the three required parameters — generate_title, generate_scope, generate_brief — have no descriptions anywhere and are not mentioned in the tool description. The most important inputs (especially what 'scope' means and what format 'brief' expects) are left entirely to inference.

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 verb and resource ("Draft a content calendar with Nova") and explicitly separates itself from the persistence siblings create_content_calendar and create_calendar_row. An agent can tell this is the generative/drafting step, not the storage step, without opening any schema.

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 parenthetical makes the workflow explicit: this tool drafts, then you persist via create_content_calendar + create_calendar_row. It also names a prerequisite (Nova API key in AR Settings). It stops short of stating when NOT to use it (e.g. when a calendar already exists and you should use update_content_calendar or import_webpage_calendar).

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