list_api_keys
Retrieve and manage all API keys configured within your AnythingLLM workspace for authentication and access control.
Instructions
List all API keys
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve and manage all API keys configured within your AnythingLLM workspace for authentication and access control.
List all API keys
| 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 API keys' implies a read-only operation but doesn't specify whether it requires authentication, returns paginated results, includes metadata, or has any side effects. For a tool with zero annotation coverage, this leaves significant behavioral questions unanswered.
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 front-loaded with the core action and resource, making it immediately scannable. Every word earns its place by conveying essential information without 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 simple list operation with no parameters and no output schema, the description is minimally adequate. However, without annotations or output schema, it doesn't address what the return format looks like (e.g., array of keys, pagination, metadata). The description meets basic requirements but leaves room for improvement regarding output expectations.
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 0 parameters with 100% schema description coverage, so the schema already fully documents the absence of inputs. The description doesn't need to compensate for any parameter gaps. A baseline of 4 is appropriate since there are no parameters to explain 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 'List all API keys' clearly states the verb ('List') and resource ('API keys'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'create_api_key' or 'delete_api_key', but the verb 'List' inherently distinguishes it from creation/deletion operations. The purpose is specific and unambiguous.
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. While the verb 'List' implies retrieval rather than mutation, there's no mention of prerequisites, permissions needed, or comparison to other list operations like 'list_users' or 'list_workspaces'. The agent must infer usage from context 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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