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get_daemonsets

Read-only

Fetch DaemonSet summary rows: name, namespace, desired, current, ready and available node counts, age and the first unmet condition (or the unavailable count). Not-ready sets sort first. A list needs namespace or all_namespaces=true and carries total, returned, truncated and scope.

Input Schema

NameRequiredDescriptionDefault
nameNoSpecific DaemonSet name to fetch.
namespaceNoKubernetes namespace to list. A list needs either this or all_namespaces=true; a named read (name) needs neither.
cluster_idYesAnkra cluster id (UUID) the call targets. Discover ids with list_clusters.
all_namespacesNoSet true to list every namespace on the cluster deliberately. Omit it and pass namespace to list one namespace; a list with neither is refused (error_code scope_required).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so the description adds real behavioral value: sort order ('Not-ready sets first'), the first unmet condition vs. unavailable count fallback, and that a scope-less list is refused. It does not state pagination limits beyond the truncated flag or rate limits, so it stops short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences: resource+fields first, then sorting/condition semantics, then the scoping rule. No filler, and the most decision-relevant facts (what it returns, how to scope it) are front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read tool with no output schema, the description covers returned fields, list envelope (total, returned, truncated, scope) and scoping rules well. It leaves minor gaps: no explicit note on what happens when name matches nothing, and no mention of pagination mechanics behind the truncated flag.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description goes further by explaining the semantic relationship between parameters: a name-based read needs neither namespace nor all_namespaces, while a list requires one of them. That cross-parameter rule is genuinely useful and not spelled out as cleanly in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Fetch) and resource (DaemonSet summary rows), then enumerates the exact returned fields (name, namespace, desired, current, ready, available, age, first unmet condition). An agent can distinguish this from get_deployments, get_statefulsets, get_pods and get_nodes purely from the description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a clear scoping rule for lists: 'A list needs namespace or all_namespaces=true'. It does not enumerate sibling alternatives (get_deployments, get_statefulsets) that an agent might otherwise reach for, but the scoping condition is explicit and actionable.

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

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