get_aws_cert_validation
Retrieve AWS certificate validation details for a given certificate ID to verify SSL/TLS certificate status.
Instructions
获取 AWS 证书验证信息
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cert_id | Yes | 证书 ID |
Retrieve AWS certificate validation details for a given certificate ID to verify SSL/TLS certificate status.
获取 AWS 证书验证信息
| Name | Required | Description | Default |
|---|---|---|---|
| cert_id | Yes | 证书 ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description only states it retrieves information. It does not disclose any behavioral traits like read-only nature, authentication requirements, or potential side effects.
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 concise sentence with no waste. It is front-loaded and directly states the tool's purpose.
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?
For a simple one-parameter tool, the description is adequate but incomplete: it does not explain what the validation info contains, and there is no output schema to clarify the return value.
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?
Schema coverage is 100% (cert_id described as 'certificate ID'), but the description adds no additional meaning beyond the schema. Baseline 3 is appropriate.
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 'Get AWS certificate validation information' clearly specifies the action (get) and resource (certificate validation info), distinguishing it from sibling tools like get_certificate_list (list) or apply_aws_certificate (create).
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 versus alternatives, such as get_certificate_list or update_certificate. The context from sibling tools is not leveraged to clarify usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yingcaihuang/racorecloud-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server