lucky_list_certificates
List all certificate objects in a Lucky instance to review SSL/TLS certificate configurations for web modules.
Instructions
List Lucky certificate objects.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all certificate objects in a Lucky instance to review SSL/TLS certificate configurations for web modules.
List Lucky certificate objects.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, and the description adds no behavioral detail beyond the word 'List'. It does not mention pagination, response shape, ordering, or any side effects. With no additional behavioral context from the description, the definition relies entirely on annotations.
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?
A single, short, front-loaded sentence with no filler or redundant clauses. Every word contributes to identifying the operation and resource, even though the description is minimal.
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 zero-parameter, read-only list operation with rich annotations, the description is largely sufficient. It clearly names the resource being listed. It does not describe the return payload or note that it returns all certificates, but given the low complexity and the absence of parameters, this is a minor gap rather than a critical omission.
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 tool has zero parameters and schema coverage is 100%, so there are no parameter semantics to document. The description does not need to compensate for any schema gaps, earning the baseline score for a parameter-free tool.
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 states a specific verb ('List') and resource ('Lucky certificate objects'), clearly differentiating it from certificate create/update/delete siblings and from list tools for other resources like STUN rules or port forwards. No ambiguity about what operation it performs.
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?
The usage context is only implied: use this tool to list certificate objects. There is no explicit guidance about when to choose this over alternatives, nor any mention of filters, scope, or exclusions. It is not misleading, but it leaves the when-to-use decision mostly to inference.
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/lcmovie/lucky-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server