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 a read-only metadata lookup by describing returned content, but never states that it has no side effects, returns no rows, or how large/heavy the response is. Adequate but thin for a zero-annotation tool.

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 core content is front-loaded in a single sentence followed by a terse directive, which is efficient. However, the duplicated word "register register" is a noticeable defect and the enumeration is slightly run-on, costing structure points.

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, but the description compensates by enumerating what the response contains (fields, counts, regions, services, identifier schemes, citation). For a zero-argument metadata tool this is close to sufficient, with only the return format and size left unspecified.

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 per the rubric the baseline is 4. There is nothing for the description to disambiguate at the parameter level, and it correctly implies the tool is invoked without 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?

The description names the concrete resource (the Asbestos Survey Cost register) and enumerates what it returns: fields, entity counts, regions, services, identifier schemes, and citation guidance. An agent can tell this is a schema/metadata introspection tool, though it does not explicitly contrast itself with siblings like dataset_provenance or dataset_columns.

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" gives explicit ordering guidance for the discovery flow, which is a genuine when-to-use signal. It stops short of naming an alternative or stating when-not to call it, so it falls just under full marks.

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