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

No annotations are provided, so the description carries the full behavioral burden. It discloses the $0.06 USDC pay-per-call fee, the x402 payment mechanism on Base, and the exact failure mode when the payment-signature header is missing. This is valuable runtime context beyond what the schema provides.

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?

Every sentence earns its place: the first defines the deliverable and return contents, and the second covers payment and error behavior. It is compact, front-loaded, and free of filler.

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?

With no output schema, the description adequately explains what the tool returns and includes the prerequisite payment-signature behavior. It omits only minor details like exact response shape or how context influences the calendar, which are not essential for basic invocation.

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%, and the schema already defines query with an example and context as optional supporting text. The description adds no additional parameter-level nuance, so the baseline 3 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 opens with a direct verb and noun: 'Generate a 30-day content calendar,' then specifies the output contents: daily content themes, post types, and a posting schedule. This clearly differentiates it from sibling generators like generate-linkedin-post or generate-marketing-strategy.

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 use case is implied by the tool name and the phrase '30-day content calendar,' but the description never explicitly states when to prefer this tool over alternatives or mentions exclusions. It does not name siblings or provide conditional selection guidance.

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