analyze_youtube_video

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

No annotations are provided, so the description carries the full burden. It discloses one key behavior (complete transcript processed without truncation) but does not mention other relevant aspects such as authentication, rate limits, error handling, or output format. This is minimal but not misleading.

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 concise and front-loaded, with two sentences that both serve a purpose: stating the action and providing usage guidance. There is no redundant information or filler.

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?

Given the tool's simplicity (2 parameters, no output schema, no annotations), the description covers the essential purpose and usage. It adequately addresses the main sibling tool (get_youtube_transcript) and explains the key benefit, but it could optionally mention what the result looks like or any prerequisites.

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 100% for both parameters (url and pattern), with clear descriptions in the schema. The description does not add extra parameter semantics beyond what the schema already provides, so a baseline score 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?

The description clearly states the tool fetches a YouTube transcript and analyzes it with a Fabric pattern in one step. It distinguishes itself from sibling tools by explicitly saying to use this instead of calling get_youtube_transcript and then a pattern separately.

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?

Provides explicit usage guidance by recommending this tool over the alternative of calling get_youtube_transcript and then a pattern separately. It also gives a rationale (ensures complete transcript without truncation), which clarifies when this tool is preferred.

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