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KS-GEN-AI

Jira MCP Server

by KS-GEN-AI

assign_ticket

Assign Jira tickets to specific team members using account IDs to manage workload distribution and ticket ownership.

Instructions

Assign a ticket on Jira on the api /rest/api/3/issue/{issueIdOrKey}/assignee. Do not use markdown in your query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountIdYesThe account id of the assignee
issueIdOrKeyYesThe issue id or key

Implementation Reference

  • The core handler function that executes the tool logic by sending a PUT request to the Jira API to assign the ticket (issue) to the specified accountId.
    async function assignTicket(
      accountId: string,
      issueIdOrKey: string,
    ): Promise<any> {
      try {
        const response = await axios.put(
          `${JIRA_URL}/rest/api/3/issue/${issueIdOrKey}/assignee`,
          {
            accountId,
          },
          {
            headers: getAuthHeaders().headers,
          },
        );
    
        return response.data;
      } catch (error: any) {
        return {
          error: error.response.data,
        };
      }
    }
  • Input schema definition for the assign_ticket tool, specifying required string parameters accountId and issueIdOrKey.
    inputSchema: {
      type: 'object',
      properties: {
        accountId: {
          type: 'string',
          description: 'The account id of the assignee',
        },
        issueIdOrKey: {
          type: 'string',
          description: 'The issue id or key',
        },
      },
      required: ['accountId', 'issueIdOrKey'],
  • src/index.ts:208-226 (registration)
    Tool registration in the MCP tools array, defining the name, description, and input schema.
    {
      name: 'assign_ticket',
      description:
        'Assign a ticket on Jira on the api /rest/api/3/issue/{issueIdOrKey}/assignee. Do not use markdown in your query.',
      inputSchema: {
        type: 'object',
        properties: {
          accountId: {
            type: 'string',
            description: 'The account id of the assignee',
          },
          issueIdOrKey: {
            type: 'string',
            description: 'The issue id or key',
          },
        },
        required: ['accountId', 'issueIdOrKey'],
      },
    },
  • MCP request handler case that dispatches the assign_ticket tool call, validates inputs, invokes the assignTicket function, and formats the response.
    case 'assign_ticket': {
      const accountId: any = request.params.arguments?.accountId;
      const issueIdOrKey: any = request.params.arguments?.issueIdOrKey;
    
      if (!accountId || !issueIdOrKey) {
        throw new Error('Account id and issue id or key are required');
      }
    
      const response = await assignTicket(accountId, issueIdOrKey);
    
      return {
        content: [
          {
            type: 'text',
            text: 'Ticket assigned : ' + JSON.stringify(response, null, 2),
          },
        ],
      };

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations provided, so the description carries full burden. It mentions 'Do not use markdown' but fails to disclose that this is a write/modify operation or any side effects (e.g., notifications, permissions required).

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

Conciseness4/5

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

Two sentences: first clearly states purpose, second gives a formatting caution. Concise, though the markdown note seems slightly out of place.

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?

No output schema, no annotations. For a mutation tool, missing explanation of return values, error cases, or permissions. The description is minimal and leaves important gaps.

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 coverage is 100% with clear descriptions for both parameters. The description adds the API endpoint context but not additional parameter meaning, so baseline 3 is appropriate.

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 the action ('assign a ticket') and the specific Jira API endpoint, distinguishing it from sibling tools like create, delete, or edit tickets.

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 explicit guidance on when to use this tool versus alternatives, nor prerequisites (e.g., permissions). The description only provides the API endpoint without usage context.

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