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get_comment_replies

Retrieve replies to a specific comment in WebSim projects to view discussion threads and community interactions.

Instructions

Get replies to a specific comment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesWebSim project ID
comment_idYesComment ID
limitNoNumber of replies to return (default: 20)
offsetNoNumber of replies to skip (default: 0)

Implementation Reference

  • MCP tool handler for 'get_comment_replies'. It extracts parameters from args, invokes the API client's getCommentReplies method, and returns a formatted JSON response containing the replies.
    handler: async (args) => {
      const { project_id, comment_id, limit = 20, offset = 0 } = args;
      const result = await apiClient.getCommentReplies(project_id, comment_id, limit, offset);
      return {
        content: [{
          type: "text",
          text: JSON.stringify({
            success: true,
            data: result,
            message: `Successfully retrieved ${result.items?.length || 0} replies to comment ${comment_id}`
          }, null, 2)
        }]
      };
    }
  • Input schema validating the tool parameters: project_id (required), comment_id (required), limit (optional, default 20), offset (optional, default 0).
    inputSchema: {
      type: "object",
      properties: {
        project_id: {
          type: "string",
          description: "WebSim project ID"
        },
        comment_id: {
          type: "string",
          description: "Comment ID"
        },
        limit: {
          type: "number",
          description: "Number of replies to return (default: 20)",
          default: 20
        },
        offset: {
          type: "number",
          description: "Number of replies to skip (default: 0)",
          default: 0
        }
      },
      required: ["project_id", "comment_id"]
    },
  • server.js:1037-1078 (registration)
    The full tool registration object added to the 'tools' array, defining name, description, inputSchema, and handler for MCP server registration.
    {
      name: "get_comment_replies",
      description: "Get replies to a specific comment",
      inputSchema: {
        type: "object",
        properties: {
          project_id: {
            type: "string",
            description: "WebSim project ID"
          },
          comment_id: {
            type: "string",
            description: "Comment ID"
          },
          limit: {
            type: "number",
            description: "Number of replies to return (default: 20)",
            default: 20
          },
          offset: {
            type: "number",
            description: "Number of replies to skip (default: 0)",
            default: 0
          }
        },
        required: ["project_id", "comment_id"]
      },
      handler: async (args) => {
        const { project_id, comment_id, limit = 20, offset = 0 } = args;
        const result = await apiClient.getCommentReplies(project_id, comment_id, limit, offset);
        return {
          content: [{
            type: "text",
            text: JSON.stringify({
              success: true,
              data: result,
              message: `Successfully retrieved ${result.items?.length || 0} replies to comment ${comment_id}`
            }, null, 2)
          }]
        };
      }
    },
  • WebSimAPIClient helper method that constructs the API endpoint URL with pagination parameters and performs the HTTP request to retrieve comment replies.
    async getCommentReplies(projectId, commentId, limit = 20, offset = 0) {
      const params = new URLSearchParams({ limit: limit.toString(), offset: offset.toString() });
      return this.makeRequest(`/api/v1/projects/${projectId}/comments/${commentId}/replies?${params}`);
    }
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 replies') but does not describe key behaviors like whether this is a read-only operation, potential rate limits, authentication needs, error handling, or the format of returned data. This leaves significant gaps for an agent to understand how to invoke it safely and effectively.

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, direct sentence ('Get replies to a specific comment') that is front-loaded and wastes no words. It efficiently conveys the core purpose without unnecessary elaboration, making it highly concise and well-structured for quick understanding.

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 tool's complexity (fetching replies with pagination via limit/offset), lack of annotations, and absence of an output schema, the description is insufficient. It does not address behavioral aspects like pagination mechanics, data format, error cases, or how it integrates with sibling tools, leaving the agent with incomplete context for reliable 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 input schema has 100% description coverage, clearly documenting all parameters (project_id, comment_id, limit, offset) with their types, defaults, and purposes. The description adds no additional semantic information beyond what the schema provides, such as explaining relationships between parameters or usage nuances, so it meets the baseline for high schema coverage without compensating further.

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 'Get replies to a specific comment' clearly states the verb ('Get') and resource ('replies to a specific comment'), making the purpose immediately understandable. However, it does not explicitly differentiate this tool from sibling tools like 'get_project_comments', which might fetch comments rather than replies, leaving some ambiguity about sibling relationships.

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, such as 'get_project_comments' for fetching comments instead of replies, or how it relates to other comment-related operations. It lacks explicit context, prerequisites, or exclusions, offering minimal usage direction.

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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