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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered; the description adds real behavioral context by stating that unfiltered calls return everything and are paginated, and by enumerating the kinds of data returned (accepted identity type, proof counts, mandatory fields, one-time/permanent docs). It stops short of describing page limits or result size, but goes well beyond the annotations.

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?

Front-loaded with purpose, then usage trigger, then the detailed output inventory, then the follow-up flow. The long middle clause listing what the response reveals is dense but earns its place given there is no output schema; a minor trim would tighten it.

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 compensates by spelling out exactly what the response reveals and how it feeds the registration workflow. Combined with annotations covering safety, an agent has everything needed to call this correctly in context.

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 coverage is 100%, so both filter parameters are already fully documented with formats and examples; the description only restates that country and DID Group type are optional ('name like "National" or UUID'). Baseline 3 is appropriate when the schema carries parameter semantics.

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+resource ('List the regulatory requirements for DID registration') and scopes it with the optional country and DID Group type filters. It implicitly separates itself from the sibling list_emergency_requirements by anchoring to DID registration, but never names or contrasts that sibling explicitly.

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?

It states exactly when to call it ('Use this FIRST when a DID needs registration (awaiting_registration / needs_registration)') and lays out the full follow-up sequence with named sibling tools (create_identity -> create_regulation_upload_link -> create_address -> create_address_verification). Nothing about sequencing is left to inference.

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