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

With no annotations provided, the description carries full burden. It discloses that data comes from hand-run real-money tests (not scraped), implying manual verification and no side effects. However, it does not mention error behavior for unknown casino names, rate limits, or authentication needs, leaving minor gaps.

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?

Description is efficient with four sentences that front-load the purpose, provide a concrete example output, and explain data provenance. Every sentence adds value 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?

Given only one parameter and no output schema, the description adequately explains the return structure (trust score, audit status, live test details, etc.) with a sample call. It covers essential use cases but omits mention of error handling or edge cases for invalid names.

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 single parameter 'name' has 100% schema description coverage, already explaining case-insensitivity and fuzzy matching. The tool description repeats these examples but adds no new semantic information beyond what the schema provides, meeting the baseline but not exceeding it.

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?

Clearly states the tool's core function: retrieving a forensic audit verdict for a single crypto casino, listing specific data points (trust score, audit status, live test details). Distinguishes from sibling tools which are for lists, comparisons, or bonuses, making the unique role obvious.

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?

Explicitly says 'Use for questions like ...' with concrete examples. Does not explicitly state when not to use or name alternatives, but the sibling list and the nature of the task provide implicit guidance. Clear context with no exclusion criteria, so a slight gap exists.

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