blueprint_new_channel

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

With no annotations, the description carries the full burden. It clearly describes what the tool does internally: validates demand, finds channels, mines comments, and creates a launch roadmap. It stops short of disclosing latency, cost, or any side effects, but as a research/planning tool the disclosed behavior is substantial.

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 front-loads the core purpose, follows with a compact enumeration of exactly what the tool produces, and ends with a clean Args block. There is no fluff and every sentence adds information needed to invoke it correctly.

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 broad, multi-step planning tool, the description gives enough context about inputs, target user, workflow, and deliverable. Since an output schema exists, return-value detail can be deferred. The main missing piece is routing guidance against the very large sibling set, but that is not essential 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 0%, so the description had to compensate. Each parameter gets meaningful explanation: niche has realistic examples, target_audience is marked optional with examples, and region_code gives default and example values. This goes well beyond the bare schema.

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 opens with a clear verb-plus-resource: 'Conduct a full market research study and launch blueprint for starting a new YouTube channel.' It enumerates specific outputs and is clearly distinct from the sibling tools in scope, though it never names another tool to explicitly differentiate itself.

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 direct context for when to use it: for launching a new YouTube channel and for 'beginners and new creators.' It does not provide when-not-to-use guidance or point to alternatives among the many sibling tools, so it misses the top tier.

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