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devtools_deploy_vault_secrets_operator

Deploys the Vault Secrets Operator to a reachable cluster, enabling Kubernetes secrets management. Requires confirmation before modifying the cluster.

Instructions

Deploy the Vault Secrets Operator.

TOOL_NAME=devtools_deploy_vault_secrets_operator DISPLAY_NAME=Deploy Vault Secrets Operator USECASE=Install the Vault Secrets Operator. Modifies the cluster. INPUT_DESCRIPTION=confirm (bool) — must be true OUTPUT_DESCRIPTION=status, stdout, stderr, exit_code EXAMPLES=devtools_deploy_vault_secrets_operator(confirm=True) PREREQUISITES=cluster reachable RELATED_TOOLS=devtools_configure_vault_authentication

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It explicitly states 'Modifies the cluster' and requires 'confirm (bool) — must be true', which signals a mutating operation that needs consent. It does not detail permissions, idempotence, or reversibility, but covers the most critical side-effect and safety guard.

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 compact and front-loaded with the core action, then presents parameter, output, examples, prerequisites, and related tools in a scannable key-value format. There is some redundancy with TOOL_NAME/DISPLAY_NAME and the opening sentence repeating the use case, but no wasted prose.

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 simple one-parameter deployment tool, the description covers the input requirement, output fields, prerequisites, example invocation, related tool, and the fact that it modifies the cluster. With an output schema present and no nested parameters, this is nearly complete; the main omission is explicit permission or irreversibility context.

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

Parameters5/5

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

The input schema only provides 'boolean' with a default of false and no description, while the tool description says 'confirm (bool) — must be true' and gives an example call with confirm=True. This fully compensates for the 0% schema description coverage because it makes the single parameter's required value and intent unmistakable.

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

Purpose4/5

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

The description names the specific verb 'Deploy' and resource 'Vault Secrets Operator', and adds the important side-effect 'Modifies the cluster.' It is clear and unambiguous, though it does not explicitly contrast itself with sibling install/deploy tools other than by resource name.

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?

The description provides prerequisites ('cluster reachable') and names a related next-step tool ('devtools_configure_vault_authentication'), giving useful context for when to use it. It does not explicitly list when-not-to-use conditions or compare against alternatives, but the use case is clear enough.

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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