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

Annotations already declare readOnlyHint=true, so the safety profile is known. The description adds behavior beyond this by specifying the output format ('JSON with evergreen/news classification, SEO priority scores, and recommendations') and the classification logic. This is more context than a simple read-only flag provides, though it does not mention edge cases or failure modes.

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 front-loaded with the core purpose and uses a clean Args/Returns structure. The bullet list of prioritization targets adds useful context but is not strictly necessary for invoking the tool, so a small amount of trimming could tighten it without losing essential call information.

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 read-only classification tool with one optional parameter, the description is largely complete: it explains the input, the output shape, and the intended use of the results. The main gap is that it does not define what 'AJA,AJD' or 'section IDs' mean, but defaults and obvious domain context mitigate this.

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%, but the description's Args section compensates: 'sections: Comma-separated section IDs (default: AJA,AJD)' explains both the format and the default value. The only gap is that the description does not clarify what section IDs refer to or how they map to content sections.

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 specific verb+resource: 'Identify evergreen content (timeless value) vs time-sensitive news content.' This clearly distinguishes the tool from siblings like get_trending_content, which focuses on current trends, and generate_seo_content, which generates rather than classifies content.

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 explains the value of evergreen content and lists SEO tasks it should be prioritized for (schema markup, internal linking, etc.), which implies when to use the tool. However, it never explicitly states when not to use it or names alternative tools, leaving usage selection to inference.

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