How to get listed
how_to_registerReturns the exact steps and schema for registering a product in the index — autonomous, free, no human approval.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
how_to_registerReturns the exact steps and schema for registering a product in the index — autonomous, free, no human approval.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the operation is autonomous, free, requires no human approval, and returns informational content (steps and schema). This effectively communicates a safe, read-only, self-service behavior without leaving major hidden behaviors uncovered.
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?
The description is a single, well-structured sentence that front-loads the core purpose and adds key behavioral details (autonomous, free, no human approval) without any wasted words.
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 zero-parameter, informational tool with no output schema, the description is complete: it tells the agent exactly what will be returned and the conditions of use. Nothing essential is missing.
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?
The tool has zero parameters, so the baseline is 4. The description appropriately focuses on the return value rather than parameter details, and no parameter clarification is needed.
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 ('Returns') and identifies the exact resource: the steps and schema for registering a product in the index. This clearly distinguishes it from sibling tools like get_product, search_products, and score_url, which serve different purposes.
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?
The description makes it clear this is the tool to use when you need to know how to register a product, and it adds helpful context: the process is autonomous, free, and requires no human approval. It does not explicitly name alternatives or exclusions, but among the siblings none are direct alternatives for registration instructions.
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 resource or action: product retrieval, product search, registration guidance, URL scoring, MCP server search, and x402 endpoint search. Even where two tools search, their domains (self-registered products vs official MCP registry vs payable endpoints) are clearly differentiated in the descriptions.
Five of six tools follow a consistent verb_noun pattern (get_product, score_url, search_mcp_servers, search_products, search_x402_endpoints). The outlier is 'how_to_register', which uses a phrase instead of an imperative verb, creating a minor inconsistency.
With 6 tools, the server is well-scoped for its purpose: it covers discovery, retrieval, registration info, and auditing without overlap or bloat. This is well within the ideal 3-15 range.
The server offers search and get for products, specialized searches for MCP servers and x402 endpoints, a URL audit tool, and registration instructions. Missing are direct get-by-id actions for MCP servers and endpoints, but search results likely provide enough detail for the intended use.