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

With no annotations provided, the description carries the disclosure burden. It states the tool is free, returns only a filtered operational summary, and explicitly excludes paid market intelligence and internal infrastructure details. This gives useful boundary information beyond the tool name, though it does not detail response behavior or potential side effects, which is acceptable for a status endpoint.

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 two concise sentences with no filler. The most important information (free, operational check, use-before-paid-calls) is front-loaded, and the exclusionary details follow naturally without 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?

For a parameterless status check with no output schema, the description adequately explains what it returns and what it explicitly does not return. It could mention format or typical usage cadence, but the combination of purpose, trigger condition, and boundary information is sufficient for an agent to decide whether to use this tool.

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 tool has zero parameters, so the schema is trivially complete and the description does not need to explain parameter meaning. The baseline of 4 applies here, and the description adds no parameter information because none is needed.

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 identifies the tool as a free operational status check for the RCQ Data Oracle and specifically says it confirms product availability and freshness. It also distinguishes itself from paid calls by stating it is not paid market intelligence or internal infrastructure details, which helps an agent tell it apart from the broader data tools.

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 explicitly advises using this tool before paid calls to check availability and freshness, giving a clear trigger condition. It does not enumerate alternative tools or exclusions, but the purpose is specific enough that the agent can infer when this is appropriate compared to the sibling tools.

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