test_gcp_auth
Verify Google Cloud Platform authentication credentials to ensure secure access to GCP services through the MCP interface.
Instructions
Test GCP authentication
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify Google Cloud Platform authentication credentials to ensure secure access to GCP services through the MCP interface.
Test GCP authentication
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 only states the action ('test') without disclosing behavioral traits like what gets tested (e.g., credentials, permissions), the output format, error conditions, or side effects. This is inadequate for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient phrase with no wasted words. It's front-loaded and appropriately sized for a simple tool, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and a simple purpose, the description is incomplete. It doesn't explain what 'test' means in practice, what results to expect, or any prerequisites, leaving significant gaps for an AI agent to understand the tool's behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate, earning a baseline score of 4 for not introducing confusion or redundancy.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Test GCP authentication' states a clear action (test) and target (GCP authentication), but it's vague about what 'test' entails—does it validate credentials, check permissions, or verify connectivity? With no siblings, differentiation isn't needed, but the purpose could be more specific.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool—for example, after configuration changes, before other operations, or for troubleshooting. With no sibling tools, alternatives aren't relevant, but the description lacks any context for its application.
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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