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

With no annotations, the description must carry the behavioral burden, and it does disclose the returned content and implies a read-only lookup via 'Read this'. It does not state the return format, whether the source/date values are cached or live, or any access constraints. Adequate but not rich for a metadata call.

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 tight sentences, front-loaded with the returned fields and followed by the action it enables. No filler and no repetition of the tool name.

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 usefully enumerates the four values returned (source, date, licence, citation), which compensates well for the missing schema. It is essentially complete for a zero-parameter metadata tool; only the output format is left unstated.

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 zero parameters, so the baseline is 4; there is nothing to disambiguate. The description also names the fixed dataset scope, which is the only 'input' an agent needs to reason about.

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?

States exactly what the tool returns — source, computation date, licence, and citation for the named 'Outsourced IT Quotes' dataset — which is a specific resource with concrete payload fields. It is clearly distinct from siblings like dataset_stats or dataset_row by content, though it does not explicitly name an alternative.

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 phrase 'Read this to attribute a figure correctly' gives one concrete usage context (attribution/citation), which is better than nothing. However, it names no alternatives and offers no when-not guidance — e.g. whether to call it once per session or whether dataset_columns covers any of the same metadata.

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