plan_monetization

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

No annotations exist, so the description carries the full burden. It lists output topics but does not disclose side effects, assumptions, required inputs beyond schema basics, output format, or limitations. This is mostly a content summary rather than a behavioral contract.

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?

A single compact sentence with a colon-separated list of deliverables. It is front-loaded with the core purpose and contains no filler or redundant restatements of the schema.

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 planning tool with no annotations and no output schema, the description gives a solid content inventory but omits usage preconditions, alternative routing, and expected response structure. It is usable but not fully self-sufficient for an agent deciding between this and broader analysis tools.

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 100%, so parameters are already documented. The description adds loose high-level context—features relate to 'specialized pricing', cost relates to break-even—but it does not explicitly map parameters to analysis steps. Baseline 3 is appropriate.

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 ('Plan') and a clear resource ('monetization'), then enumerates concrete deliverables: revenue model, pricing tiers, break-even analysis, business KPIs, and pricing recommendations. This clearly distinguishes it from sibling tools focused on testing, infrastructure, scalability, or architecture.

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?

There is no explicit statement of when to use this tool versus siblings like estimate_infrastructure, analyze_project, or full_analysis. The monetization-focused wording implies use for revenue and pricing planning, but no exclusions or alternative conditions are provided.

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