strapi_list_authors
Retrieve a complete list of all authors from the Strapi CMS to manage content attribution and user permissions.
Instructions
List all authors
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve a complete list of all authors from the Strapi CMS to manage content attribution and user permissions.
List all authors
| 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 the full burden of behavioral disclosure. 'List all authors' implies a read-only operation, but it doesn't specify whether this requires authentication, how results are returned (e.g., pagination, sorting), or any rate limits. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.
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 extremely concise ('List all authors') with zero wasted words. It's front-loaded and efficiently communicates the core purpose in three words, making it easy for an agent to parse quickly.
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 (0 parameters, no output schema, no annotations), the description is minimally complete. It states what the tool does but lacks behavioral details (e.g., response format, auth needs). For a basic list operation, this is adequate but leaves room for improvement in guiding the agent on usage and 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, and schema description coverage is 100% (empty schema). The description doesn't need to add parameter details, so it meets the baseline of 4 for parameterless tools. No additional semantic value is required or provided.
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 authors' clearly states the verb ('List') and resource ('authors'), making the purpose immediately understandable. It distinguishes this tool from siblings like 'strapi_list_blog_posts' by specifying the resource type. However, it doesn't explicitly mention the scope (e.g., all authors without filtering) which would make it a perfect 5.
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. It doesn't mention sibling tools like 'strapi_get_blog_post' (for single items) or other list tools, nor does it specify 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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