describe_dataset

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

No annotations are provided, so the description carries the full behavioral burden. It implies the target must already be loaded but says nothing about read-only safety, failure modes for an unloaded/unknown name, cost, or whether output is truncated for large datasets. An output schema exists, so return-shape detail is not required, but the operational behavior is undocumented.

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?

A single front-loaded sentence with no filler, listing the concrete outputs. It is efficient, though the extreme terseness is part of why other dimensions are under-served.

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 tool with no annotations, one undocumented parameter, and a crowded sibling set including profile_dataset, this fragment is not enough to invoke or route correctly. The output schema covers return values, but the description omits the operational and selection context an agent needs.

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?

Schema description coverage is 0% and the description never explains the single 'name' parameter. The phrase 'of a loaded dataset' weakly hints that the name identifies an already-loaded dataset, but it does not confirm whether this is the name from load_dataset or list_datasets, nor any format constraints.

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 enumerates what the tool returns (schema, dtypes, value ranges, first rows), which conveys a descriptive/inspection purpose, but it is a noun phrase with no verb and never distinguishes itself from the sibling profile_dataset, which likely reports similar statistics. An agent cannot tell describe_dataset and profile_dataset apart from the text.

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?

There is no when-to-use guidance, no mention of alternatives (profile_dataset, query_dataset), and no stated prerequisites beyond the implicit hint in 'loaded dataset'. The agent must infer that load_dataset must run first and cannot tell why it would choose this over profile_dataset.

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