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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds the underlying endpoint (GET /clusters), which is useful for inference about side-effect-free behavior, but says nothing about the shape or size of the collection returned or whether results are ordered/limited.

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 short sentences, front-loaded with the purpose and followed by the endpoint for technical grounding; there is no filler. The only minor redundancy is that the first clause largely restates the title 'List clusters'.

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 trivial parameterless read tool this is close to sufficient, and annotations cover the safety dimension. However, with no output schema present, the description does not describe what a 'cluster' contains or what the response looks like, leaving the agent guessing about return values.

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 there is nothing for the description to disambiguate and the baseline of 4 applies. The description correctly implies a no-argument call by not mentioning any filters.

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 pairs a specific verb ("List") with a specific resource ("clusters ... on the site"), so an agent immediately knows this is the collection endpoint rather than an entity fetch. It does not name a sibling, but the list_/get_ naming convention among siblings makes differentiation obvious without extra prose.

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?

Usage is only implied: 'List the clusters available on the site' suggests an unfiltered collection read, but there is no explicit statement about when to prefer this over galaxydigital_get_team or other list_* tools, nor any mention of pagination or whether all clusters are always returned. Minimum viable but leaves the agent to infer the calling conditions.

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