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 mentions the tool returns the whole rule table, but does not disclose behavior like whether it requires authentication, what happens if called with no rules, the format of the output, or any side effects (e.g., destructive actions). The description is too brief for a tool with zero annotation coverage.

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 extremely concise at one sentence. It is front-loaded with the core purpose and adds a meaningful second thought. Every word serves a purpose, though it could potentially be slightly more structured (e.g., a clear 'Returns: ...' statement), but it remains efficient and clear for its brevity.

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 no parameters and no output schema, the description should complete the picture by explaining what the output contains (e.g., list of rule names, statuses? ). It hints at the value but does not specify the output format or structure. For a zero-param tool, a slightly richer description of the output would make it fully self-contained.

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 input schema has zero parameters and schema description coverage is 100%, so there are no parameters to document. The description adds value by explaining the conceptual meaning of the ‘whole rule table’ and why it matters (knowing what wasn't checked), which goes beyond what the empty schema conveys. A baseline of 4 is appropriate given no parameters and good schema coverage.

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 'The whole rule table' conveys the tool returns a complete listing of rules, and the additional context about 'what was NOT checked' adds nuance about the purpose. It clearly distinguishes from siblings like 'explain_defect' (which explains defects) and 'probe_x402_endpoint' (which probes a specific endpoint), making the tool's role as a rule-listing tool clear.

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 phrase 'Knowing what was NOT checked is part of knowing what a clean result means' implies this tool should be used to understand the full scope of checks performed, especially when interpreting a clean result. However, there is no explicit guidance on when to use it versus the siblings, nor when not to use it. The usage context is implied rather than explicit.

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