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

With no annotations provided, the description carries the full disclosure burden. It states what is returned, which helps, but never says the operation is read-only, whether it hits the network or a cache, or if it requires an authenticated session. For a zero-param introspection call the risk is low, but the disclosure is thin.

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 the payload listed first and the ordering advice second. Nothing is padded or restated from the 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?

With no output schema, the description usefully enumerates the four things returned, and with no parameters there is little else to specify. It stops just short of explaining the provenance banner's meaning or the shape of the column list.

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 takes no parameters, which is the baseline-4 case; there is nothing for the description to clarify beyond confirming the tool is invoked with no arguments.

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?

Names the concrete resource and enumerates the exact payload: columns, numeric flags, row count, and provenance banner for the Issafu dataset. It is specific, though it does not distinguish itself from siblings like dataset_stats (which likely also reports row counts) or dataset_provenance (which likely returns the same banner).

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?

'Call this first to learn the schema' gives one clear sequencing cue, which is genuinely useful. However, it offers no guidance on when to reach for dataset_stats, dataset_row, or dataset_provenance instead, even though the description's stated return content overlaps with those siblings.

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