list_agents
Retrieve all available AI agents configured within the AnythingLLM workspace for management and integration purposes.
Instructions
List all available agents
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all available AI agents configured within the AnythingLLM workspace for management and integration purposes.
List all available agents
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. 'List all available agents' implies a read-only operation but doesn't specify permissions required, pagination behavior, format of returned data, or error conditions. For a tool with zero annotation coverage, this leaves significant behavioral gaps.
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, efficient sentence with zero wasted words. It's appropriately sized for a simple list tool and front-loads the essential information. Every word earns its place.
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?
Given the tool's simplicity (zero parameters, no output schema), the description is minimally adequate. However, without annotations or output schema, it doesn't explain what 'available agents' means, what data is returned, or how results are structured. For a list operation, more context about the return format would be helpful.
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 description coverage is 100% (empty schema is fully described). The description doesn't need to explain parameters, and it correctly doesn't mention any. With no parameters to document, this meets expectations for parameter semantics.
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 'List all available agents' clearly states the action (list) and resource (agents). It's specific enough to understand the tool's function, though it doesn't explicitly differentiate from sibling tools like 'get_workspace' or 'list_users' which also list resources. The purpose is unambiguous but lacks sibling distinction.
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 provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_workspace' and 'list_users' that also retrieve resources, there's no indication of context, prerequisites, or exclusions. The agent must infer usage from the tool name alone.
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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