get_my_email
Retrieve your registered email address from your Lichess account to verify account details or update contact information.
Instructions
Get your email address
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve your registered email address from your Lichess account to verify account details or update contact information.
Get your email address
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states a read operation ('Get') but doesn't mention authentication requirements, rate limits, error conditions, or the format of the returned email address. This leaves significant gaps for a tool that likely involves personal data access.
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, clear sentence with no wasted words, making it highly efficient and front-loaded. It directly communicates the core function without unnecessary elaboration, which is ideal for a simple tool.
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 adequate but minimal. It covers the basic purpose but lacks details on authentication, return format, or error handling, which could be important for an AI agent to use it correctly in context.
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%, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, but it could have mentioned implicit context like user authentication, keeping it from a perfect score.
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 'Get your email address' clearly states the verb 'Get' and the resource 'your email address', making the purpose immediately understandable. It's specific about what is retrieved, though it doesn't explicitly differentiate from siblings like 'get_my_profile' which might include email among other data, keeping it from a perfect score.
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 such as 'get_my_profile' or other user data retrieval tools. The description lacks context about prerequisites, timing, or exclusions, leaving the agent to infer usage based on 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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