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list-issues

Retrieve and display issues from a GitHub repository to track bugs, feature requests, and tasks. Specify repository details and filter by state to manage project workflows.

Instructions

List issues in a GitHub repository

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYesRepository owner (username or organization)
repoYesRepository name
stateNoIssue state
limitNoMaximum number of issues to return

Implementation Reference

  • Implements the core logic for listing issues in a GitHub repository using the Octokit client. Handles input parameters (owner, repo, state, limit), fetches issues via GitHub API, formats response as JSON, and handles errors.
    const listIssues = async (args: ListIssuesArgs) => {
      const { owner, repo, state = "open", limit = 10 } = args;
      
      try {
        const response = await octokit.rest.issues.listForRepo({
          owner,
          repo,
          state,
          per_page: limit,
        });
        
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify(
                response.data.map(issue => ({
                  number: issue.number,
                  title: issue.title,
                  state: issue.state,
                  created_at: issue.created_at,
                  updated_at: issue.updated_at,
                  user: issue.user?.login,
                  labels: issue.labels.map(label => 
                    typeof label === 'string' ? label : label.name
                  ),
                  url: issue.html_url,
                  comments: issue.comments,
                })),
                null,
                2
              ),
            },
          ],
        };
      } catch (error) {
        const errorMessage = error instanceof Error ? error.message : 'Unknown error occurred';
        return {
          content: [
            {
              type: "text",
              text: `Error listing issues: ${errorMessage}`,
            },
          ],
        };
      }
    };
  • Tool metadata and input schema definition for 'list-issues', specifying parameters, types, descriptions, enums, and required fields.
    "list-issues": {
      name: "list-issues",
      description: "List issues in a GitHub repository",
      inputSchema: {
        type: "object",
        properties: {
          owner: {
            type: "string",
            description: "Repository owner (username or organization)",
          },
          repo: {
            type: "string",
            description: "Repository name",
          },
          state: {
            type: "string",
            enum: ["open", "closed", "all"],
            description: "Issue state",
          },
          limit: {
            type: "number",
            description: "Maximum number of issues to return",
          }
        },
        required: ["owner", "repo"],
      },
    },
  • src/tools.ts:322-327 (registration)
    Maps the 'list-issues' tool name to its handler function (listIssues) in the toolHandlers export object, enabling dispatch by the MCP server.
    export const toolHandlers = {
      "search-repos": searchRepos,
      "get-repo-info": getRepoInfo,
      "list-issues": listIssues,
      "create-issue": createIssue,
    };
  • TypeScript interface defining the expected argument structure for the listIssues handler, matching the input schema.
    type ListIssuesArgs = {
      owner: string;
      repo: string;
      state?: "open" | "closed" | "all";
      limit?: number;
    };
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it 'List issues' but doesn't describe whether this is a read-only operation, if it requires authentication, how results are paginated or sorted, or what the return format looks like. This leaves significant gaps for a tool that interacts with an external API.

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 with zero wasted words. It's front-loaded with the core action and resource, making it immediately clear what the tool does without unnecessary elaboration.

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?

Given the complexity of interacting with GitHub's API, the lack of annotations, and no output schema, the description is insufficient. It doesn't cover authentication needs, rate limits, error handling, or response structure, leaving critical contextual gaps for effective tool use.

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 input schema. The description adds no additional parameter information beyond implying the tool operates on a GitHub repository, which is already covered by the 'owner' and 'repo' parameters. This meets the baseline for high schema coverage.

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 verb ('List') and resource ('issues in a GitHub repository'), making the tool's purpose immediately understandable. It doesn't specifically differentiate from sibling tools like 'search-repos' or 'create-issue', but the core functionality is unambiguous.

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 'search-repos' or 'create-issue'. It doesn't mention prerequisites, context for filtering, or any exclusions, leaving the agent to infer usage from the tool name alone.

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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