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alsonwangkhem

GitHub MCP Server

create-issue

Create new issues in GitHub repositories to report bugs, request features, or track tasks directly from MCP-compatible applications.

Instructions

Create a new issue in a GitHub repository

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesRepository owner (username or organization)
repoYesRepository name
titleYesIssue title
bodyYesIssue body
labelsNoLabels to apply to the issue

Implementation Reference

  • The handler function that executes the 'create-issue' tool logic, calling the GitHub API to create an issue and returning the result.
    const createIssue = async (args: CreateIssueArgs) => {
      const { owner, repo, title, body, labels = [] } = args;
      
      try {
        const response = await octokit.rest.issues.create({
          owner,
          repo,
          title,
          body,
          labels,
        });
        
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(
                {
                  number: response.data.number,
                  title: response.data.title,
                  url: response.data.html_url,
                  created_at: response.data.created_at,
                  message: "Issue created successfully",
                },
                null,
                2
              ),
            },
          ],
        };
      } catch (error) {
        const errorMessage = error instanceof Error ? error.message : 'Unknown error occurred';
        return {
          content: [
            {
              type: "text",
              text: `Error creating issue: ${errorMessage}`,
            },
          ],
        };
      }
    };
  • The tool schema definition for 'create-issue', including input schema for validation.
    "create-issue": {
      name: "create-issue",
      description: "Create a new issue in a GitHub repository",
      inputSchema: {
        type: "object",
        properties: {
          owner: {
            type: "string",
            description: "Repository owner (username or organization)",
          },
          repo: {
            type: "string",
            description: "Repository name",
          },
          title: {
            type: "string",
            description: "Issue title",
          },
          body: {
            type: "string",
            description: "Issue body",
          },
          labels: {
            type: "array",
            items: {
              type: "string"
            },
            description: "Labels to apply to the issue",
          }
        },
        required: ["owner", "repo", "title", "body"],
      },
    },
  • src/tools.ts:322-327 (registration)
    Registration of the 'create-issue' handler in the toolHandlers map, used by the MCP server to dispatch tool calls.
    export const toolHandlers = {
      "search-repos": searchRepos,
      "get-repo-info": getRepoInfo,
      "list-issues": listIssues,
      "create-issue": createIssue,
    };
  • src/handlers.ts:19-21 (registration)
    MCP server request handlers for listing tools (using the tools object) and calling tools (using toolHandlers[name]).
    server.setRequestHandler(ListToolsRequestSchema, async () => ({
        tools: Object.values(tools)
    }));
  • Type definition for the arguments of the createIssue handler.
    type CreateIssueArgs = {
      owner: string;
      repo: string;
      title: string;
      body: string;
      labels?: string[];
    };
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Create' implies a write/mutation operation, it doesn't disclose authentication requirements, rate limits, error conditions, or what happens on success (e.g., returns issue ID). For a mutation tool with zero annotation coverage, this is a significant gap.

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 states the core purpose without unnecessary words. It's appropriately sized for a tool with good schema documentation and gets straight to the point.

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 insufficient. It doesn't explain what happens after creation (return values), authentication needs, error handling, or constraints. Given the complexity of creating GitHub issues, more context would be helpful.

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?

The schema description coverage is 100%, with all parameters well-documented in the schema itself. The description adds no additional parameter information beyond what's already in the structured schema, so it meets the baseline expectation but doesn't provide extra value.

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 ('Create a new issue') and target resource ('in a GitHub repository'), which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list-issues' or 'search-repos' beyond the obvious create vs. read distinction.

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. It doesn't mention prerequisites (e.g., authentication, repository access), when not to use it, or how it differs from similar operations in sibling tools beyond the basic verb difference.

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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