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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered by structured data. The description usefully discloses what the analysis produces (multimodal highlights, acoustic/visual saliency, 96-bar waveform), but says nothing about processing cost, latency, duration/size limits, or failure modes on unreachable URLs.

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?

A single dense sentence that front-loads the action and input type before enumerating outputs. No filler, though the trailing list of output artifacts is slightly heavy for what an agent needs at selection time.

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 partially compensates by naming the returned artifacts, and annotations cover safety. However, it omits sibling differentiation, input constraints beyond the schema, and any indication of cost or expected runtime, leaving gaps for a relatively heavy analysis operation.

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 both media_url and sensitivity (including its enum and default) are fully documented in the schema. The description adds no format, constraint, or behavioral detail beyond that, so the baseline of 3 is appropriate.

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 ('Analyzes') and resource ('video or audio media URL') and names the concrete outputs detected (highlight segments, saliency curves, waveform metrics). It never distinguishes this from the sibling condense_media, so an agent cannot route between them from the text alone.

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 no when-to-use guidance: it doesn't say when to pick this over condense_media, what kind of input is appropriate, or any precondition such as the URL needing to be publicly reachable (that only appears in the schema). Usage is left entirely to inference.

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