request_product_consultationSubmit a buyer's opt-in request for a product consultation. This tool may only be called after the buyer explicitly asks to be contacted.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Optional buyer name | |
| Yes | Email address where the buyer explicitly asked to be contacted | ||
| product_slug | Yes | Product the buyer explicitly requested a consultation about |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It mentions the opt-in requirement but does not disclose consequences (e.g., whether a confirmation is sent, what side effects occur, or error scenarios). Minimal behavioral insight beyond the precondition.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each earning its place: first defines purpose, second adds critical usage constraint. No wasted words, efficiently front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple submission tool with no output schema, the description covers the core constraint but omits expected behavior (e.g., response, error handling). Adequate but not fully informative.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, with descriptions for all three parameters. The description adds no new information beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Submit') and resource ('buyer's opt-in request for a product consultation'), clearly distinguishing it from sibling tools like 'compare_products' or 'create_checkout'. It uniquely captures the action and scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states a precondition: 'may only be called after the buyer explicitly asks to be contacted.' This provides clear context, though it does not mention when not to use or list alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of the commerce and affiliate ecosystem: comparison, checkout, affiliate info, cross-sells, free tier, MCP install, pricing, recommendation, trust score, registration, partnership, consultation, search, and vendor verification. No two tools have overlapping purposes; boundaries are clear.
Tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_products, get_affiliate_info, request_partnership). While the verbs vary, the structure is predictable and uniform, with no mixing of conventions.
14 tools is well-scoped for a commerce marketplace server covering product discovery, comparison, pricing, affiliate management, checkout, partnerships, and vendor verification. Each tool serves a clear purpose without bloat.
The tool set covers the full lifecycle from product discovery to checkout, including affiliate management and partnerships. Minor gaps exist, such as lacking a dedicated tool for retrieving detailed product information beyond search results, but agents can work around this.