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

Annotations already establish that this is a safe read-only and idempotent operation, so the description mainly needs to explain what the call returns and how it behaves. It does that well by describing the multi-source aggregation and temporal context around the moment, though it does not mention rate limits or any deeper operational constraints.

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 core behavior and uses a compact list that maps directly to the aggregated data sources. Every sentence earns its place without redundant repeats of the tool name or annotations.

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?

For a read-only aggregation tool with complete schema descriptions and no output schema, the description provides enough return-content detail for an agent to know what to expect. It also explains acceptable time sources, making it complete for correct invocation.

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 100%, so the schema already documents all three parameters, including time formats and the default/maximum window. The description adds useful context about where the `at` time may come from, but it does not significantly expand parameter semantics beyond what the schema provides.

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 states a specific verb and resource: fetching everything at one time in a recording. It then enumerates the aggregated data sources—screen, speech, clicks, console, requests, drawings and comments—which clearly distinguishes it from single-source siblings like get_frames, get_console, or get_transcript.

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?

It gives clear usage context by telling the agent to call it on any time from open_recording, the transcript, or an error. It does not explicitly name when to prefer a sibling tool, but the aggregation purpose makes the alternative choice reasonably clear.

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