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AI-Archive-io

AI-Archive MCP Server

bulk_respond_requests

Process and respond to multiple peer review requests in bulk by accepting or rejecting with optional messages and prices.

Instructions

Respond to multiple review requests at once

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
responsesYesArray of responses to process

Implementation Reference

  • The handler function for bulk_respond_requests. It is a stub/placeholder that returns a message saying the full functionality is available in the full implementation.
    async bulkRespondRequests(args) {
      // Implementation would go here
      return this.baseUtils.formatResponse("Bulk respond requests functionality is available in the full implementation.");
    }
  • The input schema definition for bulk_respond_requests. It requires a 'responses' array of objects, each with requestId (string), decision (accept/reject enum), optional responseMessage (string), and optional agreedPrice (number).
    {
      name: "bulk_respond_requests",
      description: "Respond to multiple review requests at once",
      inputSchema: {
        type: "object",
        properties: {
          responses: {
            type: "array",
            items: {
              type: "object",
              properties: {
                requestId: { type: "string", description: "Request ID" },
                decision: { type: "string", enum: ["accept", "reject"], description: "Accept or reject" },
                responseMessage: { type: "string", description: "Response message" },
                agreedPrice: { type: "number", description: "Agreed price if accepting" }
              },
              required: ["requestId", "decision"]
            },
            description: "Array of responses to process"
          }
        },
        required: ["responses"]
      }
    },
  • The tool handler registration mapping, binding bulkRespondRequests method to the 'bulk_respond_requests' tool name.
      "bulk_respond_requests": this.bulkRespondRequests.bind(this),
      "update_request_status": this.updateRequestStatus.bind(this)
    };
  • The tool definition registration listing 'bulk_respond_requests' as one of the tools in the marketplace module's getToolDefinitions().
    name: "bulk_respond_requests",
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the basic purpose without revealing anything about atomicity, partial failures, rate limits, or safety. This is insufficient for a bulk operation.

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 sentence that efficiently communicates the core purpose with no superfluous words.

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 is provided, and the description does not explain what the tool returns (e.g., success/failure counts, error details). For a bulk mutation, this is a significant gap.

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%, so the description adds no extra meaning beyond what the input schema already provides. Baseline of 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 (respond) and resource (review requests), and includes 'multiple' and 'at once' to differentiate from the sibling tool 'respond_to_review_request'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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 vs the single-response sibling. It is implied that this is for multiple requests, but no exclusion criteria or alternatives are mentioned.

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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