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MCP Vibe Coding Tools

MCP Vibe Coding Tools

by ammilam
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TypeScript
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gcloud_auth_print_identity_token

Generate and print a JWT identity token for authenticating to Cloud Run and other services using the active account. Specify audiences as a comma-separated list.

Instructions

Generate and print an identity token (JWT) for the active account. Used for authenticating to Cloud Run and other services.

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": {
      "audiences": "<audiences>"
    },
    "name": "gcloud_auth_print_identity_token"
  }
}

Input Schema

NameRequiredDescriptionDefault
accountNoSpecific account to get token for (optional)
audiencesYesComma-separated list of audiences for the token
include_emailNoInclude email in the token

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It states 'Generate and print' implying a read-only operation, but it lacks details on prerequisites (e.g., prior login), side effects, or output format. The description adds some context (JWT for Cloud Run) but is minimal for a tool that generates tokens.

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 two sentences long, concise, and front-loaded with the core action. Every sentence adds value without fluff.

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?

Given no output schema and moderate complexity (JWT generation), the description is incomplete. It does not mention that the token is printed to stdout, that prior authentication is needed, or default account behavior. For a simple tool, it provides the main use case but omits necessary details for reliable invocation.

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 coverage is 100%, so the schema already describes all three parameters. The description does not add any additional meaning beyond the schema; it does not explain 'audiences' or 'include_email' further. Baseline is 3, and no extra value is provided.

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 explicitly states the verb ('Generate and print') and resource ('identity token (JWT)'), and it distinguishes the tool from siblings like gcloud_auth_print_access_token by specifying the use case 'authenticating to Cloud Run and other services'.

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 gives a clear usage context ('Used for authenticating to Cloud Run and other services'), which helps an AI agent know when to use this tool. However, it does not explicitly mention when not to use it or contrast it with the access token sibling, so it falls short of full guidance.

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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