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Get Auth Config

get_auth_config
Read-onlyIdempotent

Read the Bridge app's login/auth configuration: which login methods are enabled (password — always available on Bridge, magic link, passkeys, MFA as a second factor, and each social provider: Google, LinkedIn, Azure AD, Apple, GitHub, Facebook) plus the access/refresh token TTLs as configured on the app. Use this when building or debugging login UI/flows — e.g. deciding which login buttons to render or why a provider button is missing. Narrower and login-focused compared to get_app, which returns the entire app object; for redirect URIs and env-var wiring use get_environment_info. Same list as bridge auth methods list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNoId of the Bridge app to act on for this call (see list_apps). Omit to use the current app.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered structurally. The description adds substance beyond that: it lists the concrete config surface (magic link, passkeys, MFA, each social provider, access/refresh TTLs) and the nuance that password is always available on Bridge. It does not state auth/permission requirements, which is the remaining gap.

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?

Front-loaded with the primary purpose and kept to a few sentences, each earning its place by adding scope, usage, or sibling routing. The parenthetical enumeration of five social providers is slightly verbose but genuinely informative rather than filler.

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

Completeness5/5

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

No output schema exists, so the description correctly compensates by enumerating the returned configuration surface. Combined with usage context, alternatives, and sibling disambiguation, an agent has everything needed to select and call this tool correctly.

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?

There is a single optional `app` parameter and schema description coverage is 100%, so the schema already documents it fully ('Omit to use the current app'). The description adds no parameter-level detail, which is the expected baseline when the schema carries the load.

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

Purpose5/5

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

Opens with a specific verb+resource ('Read the Bridge app's login/auth configuration') and enumerates exactly what is returned: enabled login methods and token TTLs. It actively differentiates from siblings by naming get_app as the broader alternative and get_environment_info as the redirect/env-var tool.

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

Usage Guidelines5/5

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

Gives explicit when-to-use scenarios ('building or debugging login UI/flows — deciding which login buttons to render or why a provider button is missing') and routes to two named alternatives with the conditions that select them. Nothing is left to inference.

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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