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modify_thread

Update email thread labels by adding or removing specific label IDs. Use this tool to organize and manage Gmail threads efficiently with precise control over labels.

Instructions

Modify the labels applied to a thread

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addLabelIdsNoA list of label IDs to add to the thread
idYesThe ID of the thread to modify
removeLabelIdsNoA list of label IDs to remove from the thread

Implementation Reference

  • src/index.ts:789-803 (registration)
    Registration of the 'modify_thread' MCP tool, including input schema definition and handler function that calls Gmail API's threads.modify to update labels on a thread.
    server.tool("modify_thread",
      "Modify the labels applied to a thread",
      {
        id: z.string().describe("The ID of the thread to modify"),
        addLabelIds: z.array(z.string()).optional().describe("A list of label IDs to add to the thread"),
        removeLabelIds: z.array(z.string()).optional().describe("A list of label IDs to remove from the thread")
      },
      async (params) => {
        const { id, ...threadData } = params
        return handleTool(config, async (gmail: gmail_v1.Gmail) => {
          const { data } = await gmail.users.threads.modify({ userId: 'me', id, requestBody: threadData })
          return formatResponse(data)
        })
      }
    )
  • Handler function for 'modify_thread' tool. Extracts thread ID and label changes from params, uses handleTool wrapper to authenticate and call Gmail API's users.threads.modify method.
    async (params) => {
      const { id, ...threadData } = params
      return handleTool(config, async (gmail: gmail_v1.Gmail) => {
        const { data } = await gmail.users.threads.modify({ userId: 'me', id, requestBody: threadData })
        return formatResponse(data)
      })
    }
  • Input schema for 'modify_thread' tool using Zod: requires thread ID, optional arrays for labels to add or remove.
      id: z.string().describe("The ID of the thread to modify"),
      addLabelIds: z.array(z.string()).optional().describe("A list of label IDs to add to the thread"),
      removeLabelIds: z.array(z.string()).optional().describe("A list of label IDs to remove from the thread")
    },
  • Shared 'handleTool' helper function used by 'modify_thread' and other tools for OAuth authentication, Gmail client creation, API call execution, and error handling.
    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) {
        // Check for specific authentication errors
        if (
          error.message?.includes("invalid_grant") ||
          error.message?.includes("refresh_token") ||
          error.message?.includes("invalid_client") ||
          error.message?.includes("unauthorized_client") ||
          error.code === 401 ||
          error.code === 403
        ) {
          return formatResponse({
            error: `Authentication failed: ${error.message}. Please re-authenticate by running: npx @shinzolabs/gmail-mcp auth`,
          });
        }
    
        return formatResponse({ error: `Tool execution failed: ${error.message}` });
      }
    }
  • Utility function 'formatResponse' used to standardize tool responses as MCP content blocks with JSON-stringified data.
    const formatResponse = (response: any) => ({ content: [{ type: "text", text: JSON.stringify(response) }] })
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits like whether this requires specific permissions, if changes are reversible, potential rate limits, error conditions, or what happens if label IDs are invalid. 'Modify' implies mutation but lacks safety or operational context.

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?

The description is a single, clear sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

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?

Given no annotations and no output schema, the description is incomplete for a mutation tool. It doesn't explain return values, error handling, or behavioral constraints. While concise, it lacks necessary context for safe and effective use by an AI agent.

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 description coverage is 100%, so the schema already documents all parameters (id, addLabelIds, removeLabelIds). The description doesn't add any meaning beyond what's in the schema, such as explaining label ID format or interaction between add/remove operations. Baseline 3 is appropriate when schema does the heavy lifting.

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 ('modify') and target ('labels applied to a thread'), making the purpose understandable. It distinguishes from siblings like 'modify_message' or 'delete_thread' by focusing on label operations. However, it doesn't specify that this is specifically for adding/removing labels, which is slightly less specific than ideal.

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. There's no mention of prerequisites (e.g., needing thread ID), comparison to similar tools like 'update_label' or 'patch_label', or scenarios where this is appropriate versus other thread operations like 'trash_thread'.

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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