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describe_resources

Read-only

Fetch multiple Kubernetes resources in a single batch call (max 10). More efficient than calling describe_resource multiple times. Use when you need to inspect several related resources at once (e.g. 2 ServiceAccounts + their token Secrets + a ClusterRole). An entry with a name describes that one object; an entry without one lists every object of the kind. Every entry answers with its own status (success, not_found, error) and scope (single, list), so an entry the agent could not read is never reported as an empty listing.

Input Schema

NameRequiredDescriptionDefault
resourcesYesList of resources to fetch (max 10 items).
cluster_idYesAnkra cluster id (UUID) the call targets. Discover ids with list_clusters.

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 safety profile is covered, but the description goes further by disclosing per-entry response semantics: each entry returns its own `status` (success/not_found/error) and `scope` (single/list), and failed reads are never disguised as empty listings. That is genuinely useful behavior beyond the annotation, though it does not cover auth requirements or pagination/truncation for large listings.

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

Conciseness4/5

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

Purpose and the efficiency comparison are front-loaded, then the entry semantics follow. Four sentences with little waste, though the status/scope sentence is dense and the batching limit is stated twice (description and schema maxItems).

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?

There is no output schema, so the description correctly carries the response contract (per-entry status and scope) alongside the batch limit and the single-vs-list entry behavior. For a read-only batch fetch tool, an agent has everything needed to call it and interpret the result.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description restates the name-present/name-absent semantics that the schema already documents ('Omit to list all of this kind') and adds nothing about namespace or api_version, so it does not meaningfully exceed 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?

The description gives a specific verb and resource ('Fetch multiple Kubernetes resources in a single batch call') plus a hard cap (max 10), and explicitly distinguishes itself from the sibling describe_resource. An agent can tell it apart from both describe_resource and list-style tools without opening a schema.

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 states the exact condition for use ('when you need to inspect several related resources at once') and names the alternative it replaces ('more efficient than calling describe_resource multiple times'), with a concrete example of a mixed batch. Nothing about when-to-use 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.

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