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Critical Raw Minerals & ESG Compliance Oracle(x402)

open_agent_session

Open a prepaid session so autonomous AI agents can run sub-0.1ms mineral and ESG micro-queries without per-query on-chain gas latency.

Instructions

Opens a high-speed allowance session for autonomous AI agents, enabling <0.1ms micro-queries without per-query on-chain gas latency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
signatureNoOptional EIP-712 deposit authorization signature
agent_addressYesAgent EVM wallet address (0x...)
deposit_amount_usdcNoUSDC deposit amount for session queries (default 10.0)
session_duration_hoursNoSession validity in hours (default 24)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.6

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries full behavioral burden. It discloses useful operational traits: high-speed performance (<0.1ms), micro-query support, and no per-query on-chain gas latency. Yet it omits critical context such as whether a deposit is required, signature authorization, session limits, or what happens on close.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that is front-loaded with the core action and avoids unnecessary words. The marketing-style phrasing ('high-speed allowance session') is slightly less direct than plain language but still concise.

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 tool has four parameters and no output schema or annotations, so the description must provide enough context to invoke correctly. It explains the core value proposition but omits session lifecycle details (e.g., deposit handling, signature role, relationship to close/get_info) that would help an agent use it confidently.

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 all four parameters are already documented in the input schema. The description adds no parameter-specific syntax or constraints, leaving the schema to do the heavy lifting, which matches the baseline of 3.

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 verb ('Opens') and resource ('high-speed allowance session') and explains the primary capability (micro-queries without on-chain gas latency). However, it does not explicitly distinguish itself from siblings like close_agent_session or get_agent_session_info beyond the implicit verb contrast.

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?

No explicit when-to-use, when-not-to-use, or alternative tools are mentioned. The phrase 'for autonomous AI agents' hints at a target user but does not tell an agent under what conditions to open a session versus using another tool.

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