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

Beyond the readOnlyHint annotation the description adds real operational context: it discloses the provider availability gates (kapsule/Scaleway, ankracloud_k8s/Ankra Cloud only for enabled orgs), the credential fallback rule, and the latency characteristic ('talks to the cloud provider's API, so it can take a few seconds'). It stops short of error/auth-failure behavior, so a 4 rather than 5.

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 the core purpose, then modes, then providers, then the read-only/latency note. The provider parenthetical list is long but each entry carries gating information, so it earns its space; the single dense paragraph is slightly heavy but not padded.

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 carries the return-value burden and does: it enumerates what the creation catalogue yields (locations, Kubernetes versions, node sizes, zones, private networks, cluster plans, capabilities) and what the cluster mode yields (region-filtered options plus current version and upgrade candidates). Nothing an agent needs to call it correctly is missing.

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%, and the description's statements about credential_id (required for the creation catalogue, falls back for ankracloud_k8s, ignored when a cluster is targeted) substantially duplicate the schema's own parameter text. The mode-folding framing adds a little interpretive value for the cluster_id/cluster_name pair, but the baseline 3 holds.

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 a specific verb+resource ('List managed-Kubernetes provisioning options') and immediately distinguishes itself from the many provider-specific siblings by enumerating the eight supported providers rather than one. The two folded modes give an agent a precise mental model of what the tool returns, which no sibling does.

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?

Explicitly splits usage by parameter state: 'Without a cluster target' activates the creation catalogue, 'With cluster_id or cluster_name' activates existing-cluster options plus upgrades. That is clear when-to-use guidance, but it never names an alternative (e.g. discover_managed_clusters or list_kubernetes_versions) or states when NOT to use it.

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