generate_my_content_calendar

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes what the tool does (generates a data-driven posting schedule) and mentions it returns a content calendar with suggested dates, times, and content prompts. However, it doesn't disclose important behavioral aspects like whether this is a read-only analysis tool or if it creates/schedules actual posts, what data sources it uses, or any rate limits/authentication requirements.

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 well-structured and appropriately sized. It starts with a clear purpose statement, provides specific details about what the tool does, then lists parameters with their semantics, and finally describes the return value. Every sentence earns its place with no wasted words or redundancy.

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?

Given the tool has an output schema (so return values are documented elsewhere), no annotations, and 2 parameters with 0% schema coverage, the description does a good job of explaining the tool's purpose, parameters, and what it returns. However, for a tool that generates recommendations based on performance data, it could better explain the data sources used or how the optimization algorithm works.

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?

With 0% schema description coverage and 2 parameters, the description adds significant value by explaining both parameters in the Args section: 'weeks: Number of weeks to plan (default: 4, max: 12)' and 'posts_per_week: Target posts per week (default: 3, max: 7)'. This provides clear semantics beyond the bare schema, though it doesn't explain what happens if values exceed the maximums or how the defaults affect the output.

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 clearly states the tool's purpose with specific verbs ('generate', 'creates') and resource ('content calendar'), and distinguishes it from siblings by specifying it's based on performance data and optimizes for best performing days/times/content types. This differentiates it from other content-related tools like analyze_content_performance or create_post.

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 clear context for when to use this tool ('based on your performance data', 'optimizes for your best performing days, times, and content types'), but doesn't explicitly state when NOT to use it or name specific alternatives among the many sibling tools. The context is sufficient but lacks explicit exclusion guidance.

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