Get content insights

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

With no annotations, the description carries the burden of behavioral disclosure. It explains the tool's analytical, non-mutating nature and the kind of output produced, but it does not mention data sources, time ranges, thresholds, or exact return structure. This is adequate but not fully transparent.

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. It front-loads the core purpose and then provides the categorical detail and the actionable outcome without any wasted words.

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 no-parameter tool, the description is mostly complete: an agent can infer it provides an overall content performance categorization across content, not a per-item metric dump. It could be improved by clarifying whether the insight is global or scoped, but the absence of parameters plus the clear output description makes it sufficiently complete.

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 tool has zero parameters, so parameter semantics are not a concern. The description does not need to explain parameters, and the no-parameter baseline of 4 applies.

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 states a specific verb ('get') and resource ('content insights') and clearly explains the output: content categorized as 'stellar', 'improving', or stale/underperforming, each with a suggested next action. It is distinct from raw analytics tools, though it does not explicitly name or contrast sibling tools.

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 this tool: when automated content performance categorization and recommended next actions are needed. However, it provides no explicit when-not-to-use guidance or alternatives among the many sibling analytics/content tools.

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