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

No annotations are provided, so the description carries the full burden and largely drops it. It never confirms this is a non-mutating read, never says what fields the 'context' contains, and never mentions permissions or failure behavior. The word 'generate' in the name/description actively blurs whether the call produces an asset or merely describes one.

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?

It is a single front-loaded sentence with no padding, which is structurally clean. However, brevity here comes at the cost of substance — the sentence is short because it omits necessary information, not because it is efficient.

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 annotations, no output schema, and three parameters, the description is the only source of behavioral and return-value information, and it supplies almost none. An agent cannot tell what the returned 'context' looks like or how to use it, which is the entire point of a context-fetching tool.

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 only 33%, and the description adds no parameter meaning whatsoever. Only notification_message is documented in the schema; calendar_id and row_id are bare strings with no explanation in either place, and the description does not clarify whether row_id is scoped to calendar_id or how the notification message is surfaced to the user.

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?

It states the resource (a calendar row) and what the payload is for (AI image/video generation context), which is more than a restatement of the name. But 'Row context' is a noun phrase rather than a verb+resource, so an agent must infer this is a retrieval tool from the 'get_' prefix alone. It also does nothing to distinguish itself from generate_calendar_row_asset or regenerate_calendar_row_asset, which sound closely related.

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?

There is no when-to-use guidance, no prerequisite, and no named alternative. An agent could reasonably guess this is a pre-generation lookup, but that is inference rather than instruction. Nothing tells it whether to call this before generate_calendar_row_asset, or whether it is ever needed standalone.

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