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JurreBrandsenInfoSupport

Zendesk API MCP Server

list_chats

Retrieve and manage chat conversations from Zendesk with pagination controls for efficient navigation through support interactions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination
per_pageNoNumber of chats per page (max 100)

Implementation Reference

  • The handler function that executes the list_chats tool logic. It prepares parameters, calls zendeskClient.listChats, and returns the result as JSON or an error message.
    handler: async ({ page, per_page }) => {
      try {
        const params = { page, per_page };
        const result = await zendeskClient.listChats(params);
        return {
          content: [{ 
            type: "text", 
            text: JSON.stringify(result, null, 2)
          }]
        };
      } catch (error) {
        return {
          content: [{ type: "text", text: `Error listing chats: ${error.message}` }],
          isError: true
        };
      }
    }
  • Zod schema defining the optional input parameters 'page' and 'per_page' for pagination.
    schema: {
      page: z.number().optional().describe("Page number for pagination"),
      per_page: z.number().optional().describe("Number of chats per page (max 100)")
    },
  • src/tools/chat.js:4-30 (registration)
    The list_chats tool is defined and exported as part of the chatTools array, which is later imported and registered in the MCP server.
    export const chatTools = [
      {
        name: "list_chats",
        description: "List Zendesk Chat conversations",
        schema: {
          page: z.number().optional().describe("Page number for pagination"),
          per_page: z.number().optional().describe("Number of chats per page (max 100)")
        },
        handler: async ({ page, per_page }) => {
          try {
            const params = { page, per_page };
            const result = await zendeskClient.listChats(params);
            return {
              content: [{ 
                type: "text", 
                text: JSON.stringify(result, null, 2)
              }]
            };
          } catch (error) {
            return {
              content: [{ type: "text", text: `Error listing chats: ${error.message}` }],
              isError: true
            };
          }
        }
      }
    ];
  • The underlying ZendeskClient method that performs the API request to list chats, called by the tool handler.
    async listChats(params) {
      return this.request("GET", "/chats.json", null, params);
    }
  • src/server.js:48-52 (registration)
    Generic registration loop where all tools, including list_chats from chatTools, are registered with the MCP server using server.tool.
    allTools.forEach((tool) => {
      server.tool(tool.name, tool.schema, tool.handler, {
        description: tool.description,
      });
    });
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

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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