Skip to main content
Glama

batch_modify_messages

Modify labels on multiple Gmail messages simultaneously to organize your inbox efficiently. Add or remove labels from selected messages in bulk.

Instructions

Modify the labels on multiple messages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesThe IDs of the messages to modify
addLabelIdsNoA list of label IDs to add to the messages
removeLabelIdsNoA list of label IDs to remove from the messages

Implementation Reference

  • src/index.ts:514-527 (registration)
    Complete registration of the 'batch_modify_messages' MCP tool, including description, input schema (using Zod), and inline handler function. The handler wraps the Gmail API's users.messages.batchModify call with shared authentication and response formatting logic via handleTool and formatResponse.
    server.tool("batch_modify_messages",
      "Modify the labels on multiple messages",
      {
        ids: z.array(z.string()).describe("The IDs of the messages to modify"),
        addLabelIds: z.array(z.string()).optional().describe("A list of label IDs to add to the messages"),
        removeLabelIds: z.array(z.string()).optional().describe("A list of label IDs to remove from the messages")
      },
      async (params) => {
        return handleTool(config, async (gmail: gmail_v1.Gmail) => {
          const { data } = await gmail.users.messages.batchModify({ userId: 'me', requestBody: { ids: params.ids, addLabelIds: params.addLabelIds, removeLabelIds: params.removeLabelIds } })
          return formatResponse(data)
        })
      }
    )
  • The core handler logic for executing the batch_modify_messages tool: authenticates via handleTool, calls Gmail's batchModify API to add/remove labels from specified message IDs, and formats the response.
    async (params) => {
      return handleTool(config, async (gmail: gmail_v1.Gmail) => {
        const { data } = await gmail.users.messages.batchModify({ userId: 'me', requestBody: { ids: params.ids, addLabelIds: params.addLabelIds, removeLabelIds: params.removeLabelIds } })
        return formatResponse(data)
      })
    }
  • Zod schema defining input parameters for the batch_modify_messages tool: required array of message IDs, optional arrays for labels to add or remove.
    {
      ids: z.array(z.string()).describe("The IDs of the messages to modify"),
      addLabelIds: z.array(z.string()).optional().describe("A list of label IDs to add to the messages"),
      removeLabelIds: z.array(z.string()).optional().describe("A list of label IDs to remove from the messages")
    },
  • Shared helper function used by all Gmail tools, including batch_modify_messages, to handle OAuth2 authentication, credential validation, 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) {
        return `Tool execution failed: ${error.message}`
      }
    }
  • Shared helper that formats API responses into MCP-compatible content structure (JSON stringified as text). Used by batch_modify_messages handler.
    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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'modify' implies a mutation, it doesn't specify whether this operation is reversible, what permissions are required, or how errors are handled (e.g., partial failures). The description lacks critical context for safe and effective use.

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, efficient sentence that front-loads the core purpose without unnecessary words. Every element ('modify,' 'labels,' 'multiple messages') earns its place, making it easy to parse and understand quickly.

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?

For a mutation tool with no annotations and no output schema, the description is inadequate. It doesn't cover behavioral aspects like side effects, error handling, or response format, nor does it provide usage guidance relative to siblings. The high schema coverage doesn't compensate for these gaps in operational context.

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%, with clear documentation for all three parameters (ids, addLabelIds, removeLabelIds). The description adds no additional semantic context beyond the schema, such as explaining label ID formats or interaction between add/remove operations. Baseline 3 is appropriate when the 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 resource ('labels on multiple messages'), making the purpose immediately understandable. It distinguishes itself from 'modify_message' (singular) and 'batch_delete_messages' (different operation), though it doesn't explicitly contrast with 'modify_thread' which might also handle labels.

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?

The description provides no guidance on when to use this tool versus alternatives like 'modify_message' (for single messages) or 'batch_delete_messages' (for deletion). It also doesn't mention prerequisites, such as needing message IDs or valid label IDs, leaving the agent to infer usage from context alone.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/HitmanLy007/gmail-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server