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KubeCraft MCP Server

Visualize App Architecture

visualize_app_architecture

Visualize the complete architecture of applications in a Kubernetes namespace, mapping connections between Ingress, Service, Deployment, Pod, ConfigMaps, Secrets, and PVCs.

Instructions

Full KubeOrch-style architecture diagram showing ALL resource types in a namespace: Ingress → Service → Deployment → Pod, plus ConfigMaps, Secrets, PVCs, and how they wire together via selectors, env refs, and volume mounts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceNoNamespace to visualize (default: 'default')default
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the output as a diagram, implying a read-only, non-destructive operation, but it does not explicitly confirm safety (e.g., 'This tool does not modify any resources'). It also lacks details on permissions needed or any rate limits, though the description is clear about what the diagram includes.

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?

The description is a single sentence that efficiently packs all relevant information: the type of diagram, resource types, and connections. It is front-loaded with the key phrase 'Full KubeOrch-style architecture diagram'. It could be slightly more structured (e.g., separate output format), but it is concise without being overly wordy.

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

Completeness3/5

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

The description thoroughly explains what the diagram contains (resource types and wiring) but lacks information about the output format (e.g., URL, image, text) and any behavioral context like required permissions or whether it fetches live data. Since there is no output schema, this missing context reduces completeness for an agent that needs to handle the output.

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?

The only parameter is 'namespace' with 100% schema description coverage (the schema includes its own description). The tool description does not add any additional semantic meaning beyond the schema; it simply mentions 'namespace' in context. With full schema coverage, the baseline of 3 is appropriate.

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 clearly states the tool produces a 'Full KubeOrch-style architecture diagram' and enumerates all resource types (Ingress, Service, Deployment, Pod, ConfigMaps, Secrets, PVCs) and how they interconnect via selectors, env refs, and volume mounts. This is a specific verb+resource combination that distinguishes it from sibling tools like 'render_app_architecture' and 'visualize_namespace' by emphasizing the detailed wiring details.

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

Usage Guidelines3/5

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

The description implies usage when an agent needs to understand the full application architecture within a namespace, but it does not explicitly state when to use this tool versus alternatives such as 'render_app_architecture' or 'visualize_namespace'. There is no mention of prerequisites, when-not-to-use, or explicit exclusions, leaving the agent to infer based on the tool name and description.

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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