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

With no annotations provided, the description carries the full burden and does disclose the returned elements: columns, numeric flags, row count, and provenance banner. It does not explicitly state that the operation is read-only or discuss freshness, but for a zero-parameter schema query the behavioral surface is otherwise well covered.

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 a single sentence with no filler; every clause adds either a return element or usage guidance. It is compact and front-loads the main content before the 'call first' instruction.

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 tool with no output schema, the description is nearly complete: it lists all returned components and tells the agent when to call it. It could more precisely define the structure of the column/numeric mapping or clarify overlap with dataset_stats and dataset_provenance, but overall it provides adequate context for correct 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?

There are zero parameters and schema coverage is 100%, so there is no parameter documentation burden. The description appropriately mentions no parameters, matching the baseline for parameterless tools.

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 names the resource (Attestvio dataset columns) and enumerates the exact payload: columns, numeric flags, row count, and provenance banner. It lacks an imperative verb, but the instruction 'Call this first to learn the schema' makes its role as a schema-discovery tool clear and distinguishes it from sibling analysis tools.

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?

It explicitly tells the agent to call this tool first to learn the schema, establishing clear entry-point usage. It does not name alternatives or state when not to use it, so the guidance is useful but not exhaustive.

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