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

The description goes well beyond the annotations by detailing that the tool is credential-independent, free of charge, never issues payment challenges, and does not fail due to provider unavailability. It also clarifies it performs no paid evidence work or mutations, which is richer than the basic readOnlyHint and idempotentHint annotations. No contradiction exists.

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 comprehensive but structured with clear segments (Use when, Do not use when, Behavior, Economics, Failure, Returns), though it is longer than strictly necessary. It front-loads the core purpose and usage guidance effectively, but the behavioral and economic details could be slightly more condensed without losing value.

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's complexity (parameterless, read-only status check), the description is fully complete. It covers what it returns, when to use, what it doesn't do, and its failure characteristics. The presence of an output schema covers return format details, so the description provides all necessary context for an agent to select and invoke the tool correctly.

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 zero parameters, there is nothing for the description to explain about parameter usage. The high schema coverage (100%) and empty schema mean the description correctly focuses on the tool's behavior and return values, which is more relevant for a parameterless tool. The description adds value by explaining what the tool returns and its constraints.

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 explicitly states the tool's purpose: reporting MCP server readiness and production-enable status for each SITEBORNE service. It clearly distinguishes this tool from siblings by naming specific alternatives like siteborne_get_quote and service tools for evidence work, making it unmistakable what this tool is for.

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?

It provides explicit 'Use when' and 'Do not use when' conditions, naming the exact sibling tools for alternatives. This gives clear guidance on when to select this tool versus others, ensuring the agent can make the correct choice without ambiguity.

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