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Aether: Base onchain data & token risk (x402)

base_token_risk

Read-only

Base token risk verdict for trading agents: honeypot and tax simulation (real buy/sell eth_call), mint/blacklist/pause/fee powers from bytecode, proxy upgradeability, ownership, and DEX liquidity. Returns low/caution/high/avoid with evidence. Price: $0.01 USDC on Base via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenYesBase ERC-20 contract address
simulateNoRun the buy/sell simulation (default true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is partly covered, but the description adds meaningful context the annotations lack: the simulation is a 'real buy/sell eth_call', the verdict scale is low/caution/high/avoid with evidence, and the tool requires a $0.01 USDC payment via x402. That payment requirement is a genuinely useful behavioral disclosure.

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?

Dense and front-loaded: the verdict purpose comes first, the evidence sources second, the return scale third, and the cost last. Every sentence carries information, though packing five distinct checks plus payment terms into three sentences is near the density limit.

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?

No output schema exists, but the description compensates by naming the return verdict categories and the evidence basis, and it discloses the payment model. An agent can call this and interpret the result without further documentation; only pricing mechanics/error behavior are left implicit.

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 both parameters (token, simulate) are fully documented in the schema. The description's mention of buy/sell simulation clarifies intent behind the 'simulate' flag but adds no format or syntax detail beyond the schema. Baseline 3 applies.

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?

States a specific verb+resource (risk verdict for a Base token) and enumerates the exact checks performed: honeypot/tax simulation, mint/blacklist/pause/fee powers, proxy upgradeability, ownership, DEX liquidity. This clearly distinguishes it from the generic sibling base_token and from base_contract.

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

Usage Guidelines3/5

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

The phrase 'for trading agents' implies the intended context, and the enumeration of checks hints at when it matters (pre-trade due diligence). However, no alternatives are named (e.g., use base_token for metadata or base_contract for raw bytecode) and there is no explicit when-not guidance.

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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