ai_stream_production

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

No annotations are provided, so the description carries the full behavioral burden. 'Autonomous' hints that the agent hands off control, but nothing says whether this is long-running, whether it blocks, what permissions/accounts it needs, or what happens to an existing stream. For a fully unannotated production tool this is a significant gap.

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 efficient sentence with no filler, and the distinguishing qualities (autonomous, AI-generated) are front-loaded. It is not padded, though it is arguably too terse to earn a top score.

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?

An output schema exists so return values need not be explained, but for an autonomous long-running production tool with zero annotations and an ambiguous sibling, the description omits lifecycle, side effects, and routing guidance. It is not complete enough for confident 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 theme, platform, and duration_hours are already documented in the schema. The description adds nothing beyond that, which matches the baseline 3 when structured fields do the heavy lifting.

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 names the resource domain (live streaming production) and a differentiating quality (autonomous, AI-generated content), so an agent grasps the general area. However, it is a noun phrase with no action verb (does it start a stream? launch an agent? queue a job?), and it gives no basis for choosing it over the near-identical sibling live_stream_producer.

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?

There is no statement of when to use this tool, when not to, or which sibling to prefer. The obvious alternative, live_stream_producer, is not mentioned at all, leaving the selection decision entirely to inference.

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