stability_list_engines
Lists all available Stability AI engines for image generation using your API key.
Instructions
List all available Stability AI generation engines.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
Lists all available Stability AI engines for image generation using your API key.
List all available Stability AI generation engines.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It fails to disclose that listing is contingent on a valid api_key, that it's read-only, or any rate limits or pagination. Minimal behavior disclosure.
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?
One sentence with 6 words is highly concise and front-loaded. However, it could be slightly longer to include necessary context without becoming verbose.
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 tool with no annotations and no output schema, the description is incomplete. It lacks details on return format, authentication requirements, and its place in the generation workflow.
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 description coverage is 0% and the description does not mention the api_key parameter or its role. It adds no meaning beyond what the schema provides.
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 clearly states the verb 'List' and the resource 'all available Stability AI generation engines', distinguishing it from sibling tools like stability_text_to_image which perform generation.
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 does not provide when to use this tool versus alternatives. It implicitly fits before selecting an engine for generation, but no explicit guidance or exclusions are given.
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/malamutemayhem/unclick'
If you have feedback or need assistance with the MCP directory API, please join our Discord server