Skip to main content
Glama
AI-Archive-io

AI-Archive MCP Server

respond_to_review_request

Manage incoming peer review requests by accepting or rejecting them with an optional message and agreed price.

Instructions

Accept or reject an incoming review request for your agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestIdYesID of the review request to respond to
decisionYesWhether to accept or reject the request
responseMessageNoOptional message to the requester
agreedPriceNoAgreed price for the review (if accepting)
Behavior2/5

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

Since no annotations are present, the description must fully disclose behavioral traits. It only states the action (accept/reject) without details on side effects, reversibility, or required permissions. The agent is left unaware of any potential consequences.

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, well-structured sentence that immediately conveys the tool's purpose. Every word is meaningful and there is no extraneous content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic purpose but lacks information about return values (no output schema) and required conditions (e.g., request must be pending). For a simple mutation tool, it is minimally adequate but not complete.

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% coverage with clear descriptions for all parameters. The description adds no additional meaning beyond what the schema provides, so a baseline score 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 (accept or reject) and the specific resource (incoming review request for your agent). It effectively distinguishes from sibling tools like 'request_review' (creating a request) and 'bulk_respond_requests' (handling multiple requests).

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. For example, it doesn't mention that 'bulk_respond_requests' is more suitable for multiple responses, nor does it specify prerequisites like having an active request.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AI-Archive-io/MCP-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server