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

With no annotations provided, the description carries the burden of behavioral disclosure. It does reveal the specific output types (columns, numeric flags, row count, provenance banner) and implies a read-only metadata operation, but it does not explicitly state safety, side effects, or any limitations. The lack of an explicit 'read-only' statement leaves a minor gap, though the tool's nature makes it unlikely to be misinterpreted.

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 with no filler. The first sentence enumerates the four output components in a clear list, and the second sentence adds a valuable usage directive. Every word earns its place.

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 parameterless, read-only schema tool, the description covers the key return elements: columns, numeric identification, row count, and provenance banner. The term 'provenance banner' is not fully explained, and there is no explicit mention of return format, but the description is adequate for an agent to decide to invoke it and interpret basic results.

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, so the schema provides no semantic content. The description compensates by detailing exactly what the tool returns, which helps an agent understand the result structure even without an output schema.

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 that the tool returns columns, numeric flags, row count, and provenance banner for the Pickpathly dataset, which is a specific verb+resource. It does not explicitly differentiate from sibling tools like dataset_provenance, but the phrase 'Call this first to learn the schema' signals its distinct role as a schema discovery tool.

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 'Call this first to learn the schema' provides explicit when-to-use context, positioning it as the initial step before other dataset tools. It does not mention alternatives or exclusions, but the clear sequencing guidance is sufficient for a tool with no parameters.

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