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pre_trade_agent_gate

Read-only

Deterministic TRUST/BLOCK pre-trade gate combining on-chain DexScreener liquidity and Base/Solana RPC honeypot inspection with CanaryGuard metadata injection scrubbing. Price: $0.005 USDC on Base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoBlockchain ecosystem to audit (base or solana)base
target_urlNoOptional associated project URL
strict_modeNoDeterministic prompt-injection sanitization strictness
token_or_service_addressYesEVM or Solana address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoSanitized domain data payload or verification metrics
statusYesExecution status (success or error)
contentNoStructured text or data content returned to the LLM agent
paymentNox402 protocol payment settlement and settlement receipt details

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and destructiveHint=false. The description adds genuinely useful behavioral context beyond that: it is deterministic, returns a TRUST/BLOCK verdict, and costs $0.005 USDC on Base. It does not disclose latency, failure modes, or what a BLOCK response contains, but the payment requirement and output semantics are meaningful additions.

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?

Two dense sentences, front-loaded with the core capability and ending with the pricing/logistics detail. Jargon (CanaryGuard, DexScreener) is compact but each phrase carries information; little waste.

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 an output schema present, the description needn't explain return values, and with full schema coverage the parameters are documented. It conveys purpose, output verdict type, and cost, leaving only usage routing and edge-case behavior unaddressed for a 4-param security gate.

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 chain, target_url, strict_mode, and token_or_service_address are already documented in the schema. The description adds no parameter-level meaning (e.g. what strict_mode changes or how target_url influences the verdict), so the baseline 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 verb+resource (a pre-trade gate that inspects tokens) and enumerates the concrete capabilities: DexScreener liquidity, Base/Solana RPC honeypot inspection, and CanaryGuard injection scrubbing. It is easy to distinguish from security_url_threat_check or security_evm_calldata_firewall by capability, though it never names a sibling explicitly.

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?

"Pre-trade gate" implies the usage context (run before executing a trade to get a TRUST/BLOCK verdict), so usage is implied rather than stated. There is no explicit when-to-use, when-not, or alternative-tool routing against the many security_* and *_trending_* siblings.

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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