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

With no annotations, the description bears the full behavioral burden and falls well short. It says nothing about what dialect support looks like, whether generation costs money, whether the SQL is executed or merely returned, or what the response contains. For an AI-backed generative tool with 0% annotation coverage, these omissions matter.

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?

One compact sentence with no padding, and the core action is front-loaded. The 'AI SQL:' prefix redundantly restates the tool name, but the rest of the sentence is efficient. It is under-specified rather than verbose.

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 three-parameter generative tool with no annotations and no output schema, the description is far too thin. Nothing tells the agent what a valid call looks like, how 'desc' versus 'description' should be used, or what comes back. Critical context is missing.

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% for three parameters, so the description must compensate and does not. Worse, the schema contains both 'desc' and 'description' with no explanation of how they differ, and 'dialect' is never mentioned in the description even though it directly affects the generated SQL. The single hint ('from natural language') only loosely maps to the input parameters.

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 states a concrete verb+resource: generating SQL from natural language using AI. That is specific enough for an agent to know what it produces. It does not, however, distinguish itself from related siblings such as x402-sql-format, x402-sql-validate, or x402-sql-explain, nor from the broader x402-ai-* family.

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?

There is no when-to-use guidance, no conditions, and no mention of the alternative SQL tools in the sibling set. The agent must infer on its own that this is for authoring new SQL rather than linting, validating, or formatting existing SQL.

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