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perfectra1n

kubesearch-mcp

by perfectra1n

Get HelmRelease details

kubesearch_get_release
Read-onlyIdempotent

Fetch release details by ID from kubesearch.dev, with summary, deployments, and values views to understand community configs or drill into specific manifests.

Instructions

Get details for one chart by its kubesearch.dev release id (the id from kubesearch_search_releases, e.g. 'ghcr.io-home-operations-charts-mirror-cert-manager'). Three views, controlled by view:

  • summary (default): a compact digest of how the community configures the chart — the most commonly-set spec.values paths with their typical values, plus a couple of full example configs. Start here.

  • deployments: the paginated list of every repo deploying the chart (no values) — use it to find a repo to drill into.

  • values: the full parsed spec.values for selected deployments — narrow with repo and/or value_paths to fetch just the config (or subtree) you care about. This is the drill-down; prefer summary first. Note: chart_source_url is the normalized kubesearch.dev grouping key, not necessarily the pullable chart. For chartRef/OCIRepository releases the real chart is in source_urls (group) and each deployment's source_url + source_tag; resolved_chart surfaces the true chart name when it differs from chart. Confirm by cloning the deployment's repo (repo_clone) and reading its OCIRepository source.yaml.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe release id / slug, e.g. 'ghcr.io-home-operations-charts-mirror-cert-manager'.
topNo`summary` view: number of common value paths to return.
repoNo`values` view: restrict to one repo (e.g. 'onedr0p/home-ops').
viewNosummary = community config digest (default); deployments = paginated repo list; values = full config drill-down.summary
limitNoPage size for `deployments`/`values` views.
offsetNoPagination offset for `deployments`/`values` views.
examplesNo`summary` view: number of full example configs to include.
value_pathsNo`values` view: only return these value-path subtrees, e.g. ['server.persistentVolume','server.retentionPeriod']. Paths from the summary view's common_settings work as-is, including array forms like 'route.hostnames[]'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
viewYes
chartYes
shownNo
offsetNo
has_moreNo
next_stepNo
top_reposNo
deploymentsNo
source_urlsYes
matched_reposNo
omitted_countNo
kubesearch_urlYes
resolved_chartYes
values_summaryNo
chart_source_urlYes
deployment_countYes
chart_source_ambiguousYes
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description discloses that `chart_source_url` is normalized rather than pullable, that chartRef/OCIRepository releases have real chart info in `source_urls`, and that `resolved_chart` surfaces the true name. It also explains the pagination and view behaviors.

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?

The description is structured with bullets, front-loaded with the core purpose, and each sentence adds value (view explanations, caveats, and cross-reference). It is long but earned.

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

Completeness5/5

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

With a rich schema (8 params, enums, defaults) and output schema present, the description covers the tool's complexity thoroughly: it explains all three views, the data nuances, and provides a workflow. Gaps like error handling are not needed given the structured data.

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?

Although the schema already documents all 8 parameters (100% coverage), the description adds interpretive guidance—e.g., how `value_paths` from summary settings work as-is including array forms, and how `view` controls which parameters apply. It also gives a concrete id example. This exceeds baseline 3.

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?

The description states 'Get details for one chart by its kubesearch.dev release id' with a clear verb and resource. It distinguishes from sibling tools by referencing `kubesearch_search_releases` for the id and describing three specific views (summary, deployments, values) that are unique to this tool.

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

Usage Guidelines5/5

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

It explicitly says 'Start here' for summary view, tells users to use deployments to find a repo to drill into, and describes values as the drill-down. It also directs users to `repo_clone` for confirmation, providing alternative navigation.

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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