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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotenceHint=true, so the safety profile is covered. The description adds useful behavioral context by explaining the internal workflow (searching, fetching transcripts, running analysis) and the nature of the returned report, going beyond what annotations provide. It does not mention the required x_payment, but that is documented in the schema.

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 compact and well-structured: the first sentence gives the core purpose, and the following sentences elaborate on the process and deliverables. Every sentence carries meaningful information, and there is no redundant or filler content.

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 explains the output format in enough detail to compensate for the lack of an output schema, and it covers the overall process from search to analysis. It lacks explicit comparison to sibling tools and does not mention payment/cost, but the schema covers the x_payment parameter. Overall, it is sufficiently complete for a read-only research 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?

The input schema provides complete descriptions for all three parameters, including defaults, max, and the required x_payment payload. Schema coverage is 100%, so the description does not need to add param-level detail. The description adds only marginal context about videos being top-ranked, which is not directly parameter-specific.

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 states what the tool does: produces a multi-video AI research report on a topic. It details the pipeline (search, transcripts, cross-video analysis via Muse Spark 1.3) and explicitly names the report contents, which distinguishes it from sibling tools focused on single-video intelligence or channel growth.

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 implies when to use the tool (when you want a cross-video research report on a topic), but it does not explicitly state when to prefer alternatives like search_and_rank_videos or get_video_intelligence. No when-not-to-use conditions or exclusions are provided, leaving the guidance at an implied level.

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