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

No annotations are provided, so the description carries the full burden of disclosing behavior. It does describe the informational contents returned (columns, numeric flags, row count, provenance banner) and implies a read-only schema-introspection operation. However, it does not explicitly state that the tool has no side effects, nor does it mention permissions or error behavior.

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?

Two short sentences with no filler. The output contents are listed first, and the critical instruction to call first comes second. Every word contributes to the tool's purpose and usage.

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 zero-parameter, no-output-schema tool, the description covers the essential return categories: columns, numeric flags, row count, and provenance banner. It also provides workflow context by instructing the agent to call it first. Slightly more detail about the output shape or format would make it fully complete, but this is adequate for successful invocation.

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 baseline is 4. The description does not need to explain parameter meaning because there are none; instead it clarifies what the output will contain, which is the relevant semantics for a no-argument introspection 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 specifies what the tool provides: the dataset's columns, which are numeric, row count, and provenance banner. It also explicitly tells the agent to 'call this first to learn the schema,' which establishes its role as an introductory schema-discovery tool and distinguishes it from siblings like dataset_stats or dataset_provenance.

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 gives explicit usage guidance: 'Call this first to learn the schema.' This tells the agent when in the workflow to invoke it. It does not enumerate exclusions or compare against siblings, but the ordering instruction is strong enough to guide correct usage.

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