get_image_members
List member projects for an image by name or ID.
Instructions
List member projects for an image by name or ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| image_name | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
List member projects for an image by name or ID.
List member projects for an image by name or ID.
| Name | Required | Description | Default |
|---|---|---|---|
| image_name | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
v3.6.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since there are no annotations provided, the description must carry the full burden of behavioral disclosure. It provides no information regarding error states, whether the operation is read-only, or potential limitations on the returned member list.
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, highly efficient sentence that contains all necessary operational information without unnecessary filler.
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 retrieval function like listing members, the description provides sufficient context for the AI agent to understand how and when to call the tool, despite lacking return-value specifics.
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 schema provides only a generic string type. The description adds crucial semantic value by stating that this single parameter can accept either an 'image name' or an 'ID,' compensating for the 0% schema description coverage.
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 uses specific terminology ('List member projects') and clearly defines the resource ('for an image'). Given the context of many infrastructure siblings, this purpose is instantly recognizable and distinct.
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 description mentions the accepted input types ('name or ID'), which helps guide usage. However, it provides no guidance on prerequisites (e.g., what permissions are needed) or when to use alternatives, limiting the score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.