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kunwarVivek

mcp-github-project-manager

get_issue

Retrieve detailed information about a specific GitHub issue by providing its issue ID, enabling users to access issue data for project management and tracking purposes.

Instructions

Get details of a specific GitHub issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issueIdYes

Implementation Reference

  • MCP tool dispatch handler in index.ts that calls the service method for get_issue tool execution.
    case "get_issue":
      return await this.service.getIssue(args.issueId);
  • Tool definition including schema, description, and examples for get_issue.
    export const getIssueTool: ToolDefinition<GetIssueArgs> = {
      name: "get_issue",
      description: "Get details of a specific GitHub issue",
      schema: getIssueSchema as unknown as ToolSchema<GetIssueArgs>,
      examples: [
        {
          name: "Get issue details",
          description: "Get detailed information about an issue",
          args: {
            issueId: "42"
          }
        }
      ]
    };
  • Zod input schema validation for get_issue tool parameters.
    export const getIssueSchema = z.object({
      issueId: z.string().min(1, "Issue ID is required"),
    });
    
    export type GetIssueArgs = z.infer<typeof getIssueSchema>;
  • Registration of getIssueTool in the central ToolRegistry singleton.
    this.registerTool(getIssueTool);
  • Service layer method that delegates to GitHubIssueRepository.findById for retrieving issue details.
    async getIssue(issueId: string): Promise<Issue | null> {
      try {
        return await this.issueRepo.findById(issueId);
      } catch (error) {
        throw this.mapErrorToMCPError(error);
      }
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Get details') but doesn't describe what 'details' includes, whether it's a read-only operation, if it requires authentication, or any rate limits. For a tool with zero annotation coverage, this is a significant gap in transparency.

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 waste. It's front-loaded with the core action and resource, making it easy to parse quickly. No extraneous information is included, which is appropriate for a simple tool.

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 lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't explain the return values, error conditions, or behavioral traits needed for a read operation. For a tool with one parameter and no structured documentation, more context is required to be fully useful.

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

Parameters2/5

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

The schema has 0% description coverage, with one undocumented parameter 'issueId'. The description doesn't add any meaning beyond the schema—it doesn't explain what 'issueId' represents, its format (e.g., numeric ID, URL), or where to find it. This fails to compensate for the low 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 ('Get') and resource ('details of a specific GitHub issue'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'list_issues' or 'enrich_issue', which would require more specificity about what 'details' includes or how this differs from bulk operations.

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 siblings like 'list_issues' for multiple issues or 'enrich_issue' for enhanced details, nor does it specify prerequisites such as needing an existing issue ID. This leaves the agent without context for tool selection.

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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