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update_auto_forwarding

Configure automatic email forwarding in Gmail by setting forwarding address, enabling/disabling the feature, and specifying what happens to original messages after forwarding.

Instructions

Updates automatic forwarding settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enabledYesWhether all incoming mail is automatically forwarded to another address
emailAddressYesEmail address to which messages should be automatically forwarded
dispositionYesThe state in which messages should be left after being forwarded

Implementation Reference

  • Handler function that executes the tool logic by calling the Gmail API's updateAutoForwarding method, wrapped in handleTool for auth and formatting.
    async (params) => {
      return handleTool(config, async (gmail: gmail_v1.Gmail) => {
        const { data } = await gmail.users.settings.updateAutoForwarding({ userId: 'me', requestBody: params })
        return formatResponse(data)
      })
    }
  • Input schema defined using Zod for validating parameters: enabled (boolean), emailAddress (string), disposition (enum).
    {
      enabled: z.boolean().describe("Whether all incoming mail is automatically forwarded to another address"),
      emailAddress: z.string().describe("Email address to which messages should be automatically forwarded"),
      disposition: z.enum(['leaveInInbox', 'archive', 'trash', 'markRead']).describe("The state in which messages should be left after being forwarded")
    },
  • src/index.ts:872-885 (registration)
    MCP server.tool registration for 'update_auto_forwarding' including name, description, schema, and handler function.
    server.tool("update_auto_forwarding",
      "Updates automatic forwarding settings",
      {
        enabled: z.boolean().describe("Whether all incoming mail is automatically forwarded to another address"),
        emailAddress: z.string().describe("Email address to which messages should be automatically forwarded"),
        disposition: z.enum(['leaveInInbox', 'archive', 'trash', 'markRead']).describe("The state in which messages should be left after being forwarded")
      },
      async (params) => {
        return handleTool(config, async (gmail: gmail_v1.Gmail) => {
          const { data } = await gmail.users.settings.updateAutoForwarding({ userId: 'me', requestBody: params })
          return formatResponse(data)
        })
      }
    )
  • Shared helper function that handles OAuth2 client creation, credential validation, Gmail client initialization, and error handling for all Gmail API tool calls.
    const handleTool = async (queryConfig: Record<string, any> | undefined, apiCall: (gmail: gmail_v1.Gmail) => Promise<any>) => {
      try {
        const oauth2Client = queryConfig ? createOAuth2Client(queryConfig) : defaultOAuth2Client
        if (!oauth2Client) throw new Error('OAuth2 client could not be created, please check your credentials')
    
        const credentialsAreValid = await validateCredentials(oauth2Client)
        if (!credentialsAreValid) throw new Error('OAuth2 credentials are invalid, please re-authenticate')
    
        const gmailClient = queryConfig ? google.gmail({ version: 'v1', auth: oauth2Client }) : defaultGmailClient
        if (!gmailClient) throw new Error('Gmail client could not be created, please check your credentials')
    
        const result = await apiCall(gmailClient)
        return result
      } catch (error: any) {
        return `Tool execution failed: ${error.message}`
      }
    }

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, and the description gives no behavioral details (e.g., idempotency, side effects, permissions). The agent has no insight beyond the basic action.

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

Conciseness3/5

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

The description is concise (5 words) but lacks necessary context. It is front-loaded but overly minimal, sacrificing completeness for brevity.

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, no annotations, and a minimal description, the tool definition is incomplete. An agent needs more context about the behavior and return values to use this tool effectively.

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?

The input schema has 100% description coverage with clear explanations for each parameter, including an enum for disposition. The description adds no value beyond what the schema already provides, so it meets the baseline.

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 the action ('Updates') and resource ('automatic forwarding settings'), making the purpose evident. However, it does not differentiate from sibling tools like get_auto_forwarding, but the name itself implies mutation.

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?

No guidance is provided on when to use this tool versus alternatives such as get_auto_forwarding or create_forwarding_address. The description lacks context for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.