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List a-un products

list_products
Read-onlyIdempotent

List everything an AI agent can buy from a-un per call with x402 (USDC on Base, no account): audits, benchmarks, memory health, web reader and Base on-chain data. Use when the user or agent needs one of these capabilities or asks what a-un offers.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/closed-world, and the description adds genuinely new behavioral context: items are bought per call via x402 in USDC on Base with no account required. It does not describe the response shape or whether prices/endpoints are included, so it stops short of full disclosure.

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?

Two sentences, front-loaded with what is listed and the payment model, then the usage trigger. The category list is dense but each item earns its place by telling the agent what capabilities exist.

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

Completeness4/5

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

With no parameters and no output schema, the description gives enough to call it correctly: what the catalog covers, how purchase works, and when to reach for it. Only minor gap is not hinting at what each entry contains (price, endpoint), which would help an agent decide what to do with the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the schema has nothing for the description to compensate for; baseline 4 applies. The description correctly implies a no-argument catalog call rather than suggesting any filtering inputs.

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?

Specific verb+resource with concrete scope: it enumerates purchasable a-un capabilities (audits, benchmarks, memory health, web reader, Base on-chain data) and states the transaction model (x402, USDC on Base, no account). This clearly separates it from siblings like scan_memory_secrets or get_payment_requirements, which are individual capabilities the catalog would surface.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit trigger: use it when the user/agent needs one of these capabilities or asks what a-un offers. That covers the discovery case well, but it names no alternatives or exclusions (e.g., when to skip the catalog and call a specific service directly), leaving routing to inference.

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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