get_timeline_bucket

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

With no annotations present, the description carries the behavioral disclosure burden. It explicitly marks the tool as 'Read-only' and describes the return format (JSON with an assets array and listed fields), which provides useful behavioral transparency. It doesn't mention pagination limits or error behavior, but that's not a major gap for a read-only bucket fetch.

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 front-loaded with the tool's purpose and usage context, then cleanly lists arguments and return shape. Every sentence adds information and there is no fluff or repetition of schema defaults. It is appropriately sized for a tool with five parameters and no schema descriptions.

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 description covers the core invocation contract: exact bucket key, optional filters, read-only behavior, and return fields. Given the output schema exists, it doesn't need to over-explain return values. A minor gap is that it doesn't state how multiple filters combine (e.g., AND vs OR), but the tool is otherwise complete enough to be called 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?

Schema description coverage is 0%, so the description must fully explain the parameters. It does: time_bucket must be the exact key from get_timeline_buckets (with example), and each optional ID/filter parameter is explained with its meaning. This goes well beyond the bare schema property names.

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 clearly identifies what the tool returns—the assets for one month bucket—and explicitly ties it to get_timeline_buckets, distinguishing this retrieval tool from its sibling. The phrase 'Use the two tools together to walk a library month by month' clarifies the tool's specific role in the workflow.

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 gives a clear usage context: pair with get_timeline_buckets to navigate a library month by month and avoid expensive searches. It does not explicitly state when not to use it or compare against alternative search tools, but the intended workflow is evident.

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