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list_threads

Retrieve email conversation threads from your Gmail mailbox. Filter results by query, labels, or other criteria to organize and manage your email communications.

Instructions

List threads in the user's mailbox

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxResultsNoMaximum number of threads to return
pageTokenNoPage token to retrieve a specific page of results
qNoOnly return threads matching the specified query
labelIdsNoOnly return threads with labels that match all of the specified label IDs
includeSpamTrashNoInclude threads from SPAM and TRASH in the results
includeBodyHtmlNoWhether to include the parsed HTML in the return for each body, excluded by default because they can be excessively large

Implementation Reference

  • Handler function for the 'list_threads' MCP tool. Authenticates via handleTool, calls Gmail API users.threads.list with params, processes each thread's messages by applying processMessagePart to payloads (decoding bodies, filtering headers), and formats the response.
      async (params) => {
        return handleTool(config, async (gmail: gmail_v1.Gmail) => {
          const { data } = await gmail.users.threads.list({ userId: 'me', ...params })
    
          if (data.threads) {
            data.threads = data.threads.map(thread => {
              if (thread.messages) {
                thread.messages = thread.messages.map(message => {
                  if (message.payload) {
                    message.payload = processMessagePart(
                      message.payload,
                      params.includeBodyHtml
                    )
                  }
                  return message
                })
              }
              return thread
            })
          }
    
          return formatResponse(data)
        })
      }
    )
  • Zod input schema defining parameters for the list_threads tool: maxResults, pageToken, q (search query), labelIds, includeSpamTrash, includeBodyHtml.
      maxResults: z.number().optional().describe("Maximum number of threads to return"),
      pageToken: z.string().optional().describe("Page token to retrieve a specific page of results"),
      q: z.string().optional().describe("Only return threads matching the specified query"),
      labelIds: z.array(z.string()).optional().describe("Only return threads with labels that match all of the specified label IDs"),
      includeSpamTrash: z.boolean().optional().describe("Include threads from SPAM and TRASH in the results"),
      includeBodyHtml: z.boolean().optional().describe("Whether to include the parsed HTML in the return for each body, excluded by default because they can be excessively large"),
    },
  • src/index.ts:753-755 (registration)
    Registration of the 'list_threads' tool on the McpServer instance, specifying name, description, input schema, and handler function.
    server.tool("list_threads",
      "List threads in the user's mailbox",
      {
  • Helper function to process Gmail message parts: decodes base64 data to UTF-8 for non-HTML or specified HTML bodies, recursively processes parts, filters headers to a predefined list.
    const processMessagePart = (messagePart: MessagePart, includeBodyHtml = false): MessagePart => {
      if ((messagePart.mimeType !== 'text/html' || includeBodyHtml) && messagePart.body) {
        messagePart.body = decodedBody(messagePart.body)
      }
    
      if (messagePart.parts) {
        messagePart.parts = messagePart.parts.map(part => processMessagePart(part, includeBodyHtml))
      }
    
      if (messagePart.headers) {
        messagePart.headers = messagePart.headers.filter(header => RESPONSE_HEADERS_LIST.includes(header.name || ''))
      }
    
      return messagePart
    }
  • Shared helper for all Gmail tools: creates/validates OAuth2 client, initializes Gmail client, executes the provided API callback, handles auth errors specifically.
    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}` });
      }
    }

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, and the description only says 'List threads' without disclosing behavior like ordering, authentication requirements, or whether it is read-only. It fails to add behavioral context beyond the minimal purpose.

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 concise sentence that is front-loaded and contains no unnecessary words. It efficiently states the tool's purpose.

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?

The description is minimal given the tool has 6 parameters, no output schema, and no annotations. It does not explain return values, ordering, defaults, or how threads are defined, leaving the agent with incomplete 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?

Input schema has 100% description coverage, so the schema already documents all parameters adequately. The description does not add any additional meaning beyond what is already in the schema, meeting the baseline for high coverage.

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?

The description clearly states that the tool lists threads in the user's mailbox, using a specific verb and resource. It distinguishes from sibling tools like get_thread (single thread) and list_messages (messages, not threads).

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 such as get_thread or list_messages. It does not mention any context for selection among many thread-related siblings.

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