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

With no annotations provided, the description carries full burden for behavioral disclosure. It explains the ranking criteria (payout speed, KYC, support, license) and the audit/testing requirement, which adds transparency about the data source. However, it does not discuss whether results are cached, how frequently updated, or any rate limits, leaving some behavioral aspects opaque.

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: three sentences. The first sentence defines the tool's purpose and criteria, the second provides example search queries, and the third shows a code example. Every sentence earns its place, no wasted words.

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 only one parameter and no output schema, the description covers the core use cases well. It explains what ranks casinos, provides example queries, and shows usage. It could optionally mention that results are sorted by trust score or that the response is a list of casino objects, but this is not essential for a simple ranked list 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?

Schema description coverage is 0%, so the description must compensate for the single 'limit' parameter. It explicitly explains that limit controls how many casinos to return, with a default of 10 and max of 25 (as per schema). The example call {'limit': 10} reinforces usage. This adds meaning beyond the schema's basic type/numeric 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 clearly states the tool returns ranked crypto casinos based on a specific audit trust score, with a clear filter for only tested casinos. It distinguishes itself from sibling tools like 'list_casinos' or 'new_casinos' by focusing on trust-ranked, verified casinos.

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 provides specific query examples (e.g., 'best crypto casino 2026', 'safest bitcoin casino') and an example call {'limit': 10}, giving the agent clear context for when to use this tool. However, it does not explicitly state when NOT to use this tool vs siblings like 'compare_casinos' or 'check_casino', missing a small gap in exclusion guidance.

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