get_logged_in_user
Retrieve details about the currently logged-in user via the Mealie API.
Instructions
Get Logged In User [GET /api/users/self]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve details about the currently logged-in user via the Mealie API.
Get Logged In User [GET /api/users/self]
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits. It only states the action and endpoint, omitting whether authentication is required, the read-only nature, or any side effects. This is insufficient for agent decision-making.
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 very short (one line plus endpoint). While concise, it could be structured to include more useful context without becoming verbose. The brevity sacrifices completeness.
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 simple nature of the tool and lack of output schema, the description should explain what the response contains (e.g., user object fields). It does not, leaving agents uninformed about the result.
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?
There are no parameters, so schema coverage is trivially 100%. The description adds no parameter information, but none is needed. Baseline of 3 applies.
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 it retrieves the logged-in user. It is distinct from sibling tools that focus on specific user attributes like favorites or group, so purpose is clear and specific.
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?
No guidance is provided on when to use this tool versus alternatives. It does not mention any prerequisites, context, or exclusions, leaving the agent to infer usage from the 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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