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The Bridge

by dev.thebridge
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Get Branding

get_branding
Read-onlyIdempotent

Read the current branding of the Bridge-hosted auth pages (login, signup, reset password). Returns the applied values — bgColor, textColor, linkColor, primaryButtonBgColor, primaryButtonTextColor, tertiaryButtonBgColor, tertiaryButtonTextColor, fontFamily, borderRadius, boxShadow — plus customCss (whether a custom stylesheet is uploaded) and defaultValues (the Bridge defaults, so you can tell what has actually been customized). Read this before calling update_branding so you keep the values you are not changing.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_branding"
  }
}

Input 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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuine context beyond that: it explains what customCss means (whether a stylesheet is uploaded) and that defaultValues lets you distinguish customized from default settings, which is real behavioral insight. It stops short of covering permissions or error behavior, so not a 5.

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

Conciseness5/5

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

Two sentences, front-loaded with purpose and then the read-before-write rationale. The long field enumeration is not padding — with no output schema it is the only place the return shape is documented, so every item earns its place.

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?

With no output schema, the description fully carries the return-value burden by listing the applied color/font values, customCss and defaultValues. Combined with annotations covering the safety profile and a 100%-documented single optional param, an agent has everything needed to call this 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 parameter (app) and schema description coverage is 100%, so the schema already explains its meaning and the 'omit to use the current app' default. The description adds nothing about the parameter, so the baseline of 3 is appropriate.

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?

States a specific verb and resource ('Read the current branding of the Bridge-hosted auth pages') and scopes it precisely to login/signup/reset password pages, which distinguishes it from the broader app/auth config siblings. It also enumerates the returned fields so the agent knows exactly what this read yields.

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?

Explicitly instructs 'Read this before calling update_branding so you keep the values you are not changing,' naming the sibling tool and the condition that selects it. The read-before-write workflow is spelled out rather than 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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