Request dashboard login code
org_login_request_codeEmails a 6-digit dashboard login code to a human's address. Creates the account on first login.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| Yes |
org_login_request_codeEmails a 6-digit dashboard login code to a human's address. Creates the account on first login.
| Name | Required | Description | Default |
|---|---|---|---|
| Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations, the description discloses that an external email is sent and that an account is created on first login. This adds useful behavioral context for a non-read-only, open-world operation. It still omits rate limits, code expiry, and the expected response, so it is not fully comprehensive.
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 two concise sentences with the primary action front-loaded. Every sentence adds relevant information without repetition or filler.
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 one-parameter tool with annotations and no output schema, the description covers the core action and account-creation side effect. It is still missing the login flow context, especially that org_login_verify is the likely next step and what the caller should expect in response.
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 is one parameter, email, and schema description coverage is 0%. The description partially compensates by indicating that the email is a human's address to which the code is sent, but it does not explicitly describe the parameter or clarify account identity beyond that.
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 uses a specific verb and resource: it emails a 6-digit dashboard login code to a human's address. It also states the account-creation side effect on first login. It is clear, but it does not explicitly distinguish itself from the sibling org_login_verify.
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 implies the tool is for initiating a human dashboard login, especially for first-time users because it creates the account. However, it gives no explicit when-to-use guidance, no exclusions, and does not name org_login_verify as the follow-up verification step.
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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