content_brief

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

There are no annotations to signal read-only or destructive behavior, so the description carries the burden. It does describe the operation as 'Generate' and specifies the intended output shape, which is helpful, but it does not disclose anything about side effects, cost, idempotency, or whether the call is purely local versus persistent. The lack of those details is not critical here but still leaves some ambiguity.

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 a single, well-structured sentence that front-loads the core action and uses a colon to list deliverables. Every phrase earns its place; there is no filler or tautological repetition.

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 simple tool with one string parameter and no output schema, the listed outputs (H2 outline, word-count target, FAQ suggestions, schema type recommendation) give a solid sense of the return shape. It is not exhaustive—'schema type recommendation' is a bit vague and input specifics are minimal—but it is largely adequate for invoking the tool correctly.

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 description coverage is 0% and the description never mentions the 'topic' parameter or its constraints. The parameter name 'topic' is self-explanatory at a basic level, but the description adds no semantic guidance about acceptable formats, expected specificity, or whether the brief should be generated around that exact phrase or an expanded theme.

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 uses a specific verb and resource: 'Generate a structured article brief' and enumerates concrete deliverable components (H2 outline, word-count target, FAQ suggestions, schema type recommendation). This clearly differentiates it from sibling tools like keyword_difficulty and opportunity_score, which are about scoring topics rather than producing content briefs.

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 explicit guidance about when to choose this tool over its alternatives, and it does not mention any exclusions or prerequisite conditions. The user has to infer that article brief generation is its own scenario, but the text does not actively route an agent toward it.

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