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

With no annotations, the description carries the burden of behavioral disclosure. It explains what the tool returns and that it is the first call for schema learning, which implies a read-only metadata operation. However, it does not explicitly state that it has no side effects, requires no authentication, or describe any error/edge-case behavior. Basic but not rich behavioral context.

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 short sentences, front-loads the tool's output, and ends with a clear action directive. Every word earns its place, and there is no redundant restating of the tool name or title.

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 simple, zero-parameter metadata tool with no output schema, the description covers the essential return components and tells the agent when to call it. It could be slightly more precise about the output structure or what the provenance banner contains, but the low complexity and clear 'call this first' guidance make it largely complete.

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 and an empty input schema, so there is no parameter ambiguity to resolve. The description reinforces that the call needs no input. A baseline of 4 is appropriate for a zero-parameter tool.

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 what the tool provides: columns, numeric flags, row count, and provenance banner for the Kbasevo dataset. It stops short of an explicit verb like 'returns' or 'lists', but 'Call this first to learn the schema' makes the purpose unambiguous and distinguishes it from sibling tools that compare, search, or summarize.

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 instruction to 'Call this first to learn the schema' provides clear usage context and establishes ordering relative to other tools. It does not explicitly say when not to use it or name alternatives, but the sequencing guidance is strong enough for an agent to know this is the schema-discovery entry point.

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