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Critical Raw Minerals & ESG Compliance Oracle(x402)

register_agent_account

Create a self-service AI agent account to get a session key and initial free trial USDC balance for x402 ESG compliance queries.

Instructions

Self-service onboarding for autonomous AI agents. Instantly returns a session key and seeds an initial free trial balance (e.g. 0.05 USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_nameYesAgent or bot operator name
agent_addressNoOptional Polygon wallet address (0x...)
initial_trial_balance_usdcNoTrial balance in USDC

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.6

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose two valuable traits beyond the schema: that a session key is returned immediately, and that a free trial balance is seeded as a side effect. However it omits idempotency (what happens if the agent is already registered), whether the key expires, and any auth or rate-limit constraints.

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 tight sentences with zero filler, front-loading what the tool is before stating its outputs. Every clause carries information.

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?

There is no output schema, so the description correctly compensates by naming the returned session key and the seeded balance. For a three-parameter registration tool this is nearly complete, with only duplicate-registration and key-lifetime behavior left unstated.

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 description coverage is 100%, so the schema already documents agent_name, agent_address, and initial_trial_balance_usdc. The description only echoes the default value ('e.g. 0.05 USDC') without adding format or constraint detail, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific action and resource: self-service onboarding that registers an agent account, plus what it produces (a session key and a seeded trial balance). It is distinguishable from siblings like open_agent_session and get_agent_session_info, though it never names them explicitly.

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 phrase 'self-service onboarding for autonomous AI agents' implies first-time setup, but there is no explicit when-to-use or when-not-to-use guidance and no mention of alternatives such as open_agent_session for resuming an existing session. The agent must infer the triggering condition.

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