list_images
List all Docker images currently available on the host, providing a snapshot of the local image repository for inspection or management.
Instructions
List all Docker images
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all Docker images currently available on the host, providing a snapshot of the local image repository for inspection or management.
List all Docker images
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.3.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the behavioral burden. 'List' clearly signals a read-only operation, but the description does not explicitly state that it has no side effects, what outputs it returns, or other behavioral details such as sorting or pagination.
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 that front-loads the verb and object. Every word contributes meaning, with no filler or redundancy.
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, no-output-schema tool with no complex side effects, 'List all Docker images' is sufficient for an agent to select and invoke the tool correctly. There is no missing information that would prevent correct usage.
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, so parameter documentation is unnecessary. The word 'all' reinforces that no filtering or arguments are expected, which is consistent with the empty input schema.
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 a specific verb ('List') and a clear resource ('Docker images'), immediately distinguishing it from sibling tools like list_containers and list_volumes. There is no ambiguity about what the tool does.
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 intended use is implied by the verb-resource pairing: use this tool to enumerate Docker images. However, there is no explicit guidance about when not to use it or which alternative to prefer, though the simple scope makes this less critical.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/zskycode/docker-mcp'
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