content_optimization_analysis

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It fails to mention whether this is a read-only analysis, what side effects (if any) exist, required permissions, rate limits, or return format details. The sole behavioral implication is 'analysis', which is safe to assume but not explicitly disclosed.

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, concise sentence that front-loads the purpose. However, the word 'Advanced' is vague and does not earn its place, and the lack of concrete details makes the conciseness feel like under-specification rather than efficient writing.

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?

This tool involves 4 parameters (including a nested target_audience object) and no output schema. The description only vaguely mentions 'optimization recommendations' without detailing the types of analysis (e.g., engagement, SEO) or the nature of the output. Given the richness of sibling analysis tools, this description is too sparse for an agent to fully understand the tool's scope and expected results.

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 schema provides descriptions for 3 of 4 top-level parameters (content, analysis_type, optimization_goals; target_audience has nested property descriptions but no top-level description). Since coverage is around 75%, the schema does most of the heavy lifting. The tool description adds no parameter-level context, so it does not compensate for the missing target_audience object description, but the schema is adequate for basic usage.

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 'Advanced content analysis with optimization recommendations' indicates the tool performs content analysis and provides recommendation outputs, but it lacks a specific verb and clear resource scope. It does not differentiate from sibling tools like get_content_performance_report or get_enhanced_insights, making it harder for an agent to select it correctly.

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 provides no guidance on when to use this tool versus alternatives like analyze_best_posting_times or get_engagement_trends. There are no prerequisites, exclusions, or alternative tool mentions, leaving the agent to infer usage context.

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