get_dataset_schema

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 behavioral disclosure. It implies a read operation via "Get" but says nothing about what the schema response contains (column names, types, constraints), whether errors occur for unknown IDs, or any permission requirements.

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 zero filler. It is appropriately sized for a one-parameter read tool, though it is terse to the point of omitting useful context.

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?

There is no output schema, so the description is responsible for conveying what is returned, but it never explains what the dataset schema contains or its format. Combined with the absence of annotations for a read tool, the definition leaves notable gaps.

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 100% for the single "id" parameter, so the schema already documents it. The description adds no format, source, or lookup detail beyond what the schema provides, making the baseline of 3 appropriate.

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 states a specific verb and resource ("Get the schema for a dataset"), which is clearly distinct from get_dataset, update_dataset, or list_datasets. It is clear but makes no explicit reference to its siblings, so an agent must infer the distinction between fetching a dataset's data versus its schema.

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 guidance on when to call this rather than get_dataset or get_dataset_query_bookmarks, and no stated prerequisites. The purpose is inferable from the name alone, but the description adds nothing about context or alternatives.

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