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auth_settings

Update authentication settings for a project, including passwordless user options, sign-in method, signup policy, and admin passkey requirement.

Instructions

Update project auth settings: allow_password_set, preferred_sign_in_method, public_signup, and require_passkey_for_project_admin. Requires service_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesThe project ID
public_signupNoPublic signup policy.
allow_password_setNoAllow passwordless users (magic link / OAuth) to set a password. Default: false.
allowed_email_domainsNoRestrict hosted Google sign-in to these email domains, enforced at token issuance. [] or omitted = unrestricted; pass [] to clear. Normalized + domain-validated server-side.
preferred_sign_in_methodNoProject UI hint for the preferred sign-in method.
require_passkey_for_project_adminNoRequire eligible passkey login for project_admin sessions.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description only notes a service_key requirement. Without annotations, it fails to disclose consequences of updates, validation behavior, or any side effects, leaving significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise at two sentences and front-loads the action. However, it omits important details like the 'allowed_email_domains' parameter, so it's slightly under-specified.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and 6 parameters, the description lacks completeness; it omits 'allowed_email_domains' and 'project_id', does not mention return values or errors, and provides minimal context for usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all parameters with descriptions (100% coverage). The description lists some parameters but adds no new meaning beyond the schema, earning a baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Update project auth settings' and lists specific fields, making the purpose clear. However, it does not differentiate from sibling tools, many of which also update settings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It mentions 'Requires service_key' but offers no when-to-use or when-not-to-use guidance, nor any mention of alternatives among the extensive sibling list.

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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