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token_deep_scan

Premium token deep scan on Base, Ethereum or BNB Smart Chain: simulated buy+sell against the main DEX pool (honeypot + buy/sell tax detection via eth_call, nothing traded), main pool liquidity in USD, V2 LP burned/locked share, top-holder concentration (Blockscout; partial fallback from recent transfers), plus owner powers (proxy, owner, mint/pause/blacklist/fee). Lists anything it couldn't determine. Costs $1.50.

Input Schema

NameRequiredDescriptionDefault
chainNo
addressYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the simulation uses eth_call and trades nothing, that results cost $1.50, that holder data has a Blockscout partial fallback, and that undetermined items are listed. It omits auth/credit mechanics and response shape, keeping it below a 5.

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?

Front-loaded with purpose and chain scope, then dense feature list in parentheses; every clause is informative. It is long but earns its length given the tool's breadth, with only slight density overrun.

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 annotations or output schema, so the description must stand alone; it covers what is measured, the partial-fallback limitation, undetermined-result disclosure, and cost. Only the return format and chain-optionality default are unaddressed, minor gaps.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It names the three chains (base/ethereum/bsc), giving human meaning to the chain pattern, but it never clarifies that chain is optional (only address is required) or what happens if omitted, and it adds nothing about the address parameter.

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 and resource (deep token scan) and enumerates exactly what it covers: simulated buy/sell honeypot and tax detection, liquidity, LP lock/burn, holder concentration, owner powers. The multi-chain scope distinguishes it implicitly from the chain-specific contract_risk siblings, but it never names an alternative, so it falls short of the explicit sibling differentiation required for a 5.

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?

Words like 'Premium' and 'Costs $1.50' imply this is the expensive, thorough option and hint that cheaper tools exist, but the description never says when to prefer it over token_report or the per-chain contract_risk tools. Usage is only inferable, not stated.

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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