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google-cloud-console-mcp

google-cloud-console-mcp

by kutleloove
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

Enable an API

gcp_enable_api

Activates a Google Cloud API on a specified project so dependent services can run. Use it to turn on a service like storage.googleapis.com or androidpublisher.googleapis.com.

Instructions

Enables a Google API for a project, e.g. "androidpublisher.googleapis.com".

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "serviceName": "<serviceName>"
    },
    "name": "gcp_enable_api"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectIdNoGCP project id; defaults to GOOGLE_CLOUD_PROJECT env var
serviceNameYesAPI service name, e.g. "androidpublisher.googleapis.com", "storage.googleapis.com"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It doesn't say whether the call is idempotent, what happens if the API is already enabled, whether enablement is async/propagated, or what permissions the caller needs — meaningful gaps for a mutating tool.

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?

One short, front-loaded sentence with the action stated first. Slightly wasteful in repeating the example service name that the schema already supplies.

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

Completeness2/5

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

For a mutation tool with no annotations and no output schema, the description should cover preconditions, idempotency, and error behavior. It covers none of these, leaving the agent under-informed about what happens on repeat or failed calls.

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% and both parameters are documented there, including the env-var default for projectId. The description's service-name example duplicates the schema rather than adding new meaning, so the baseline 3 applies.

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?

States a specific verb and resource: enabling a Google API on a project, with a concrete service-name example. It is clearly distinct from the sibling gcp_disable_api, though the description never names or contrasts with it explicitly.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites (required IAM permission such as serviceusage.services.enable), and no routing to related siblings like gcp_list_enabled_apis or gcp_get_api_status to check current state first.

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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