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Kairos Research

Kairos token-check

kairos_token_check

PAID ($0.25 per call, USDC). Token rug/honeypot check on Base: GoPlus security flags, taxes, ownership, holders, DEX liquidity and source verification, with a neutral analysis. Pass credit_key to pay from a prepaid credit key; without it this returns the price and payment options instead of a report.

Input Schema

NameRequiredDescriptionDefault
addressYesToken contract address on Base
credit_keyNoPrepaid Kairos credit key (bearer; from /credits/buy). Without it the tool returns the price and how to pay.

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?

With annotations only saying readOnly=false, openWorld=true, idempotent=false, destructive=false, the description adds real substance: an explicit $0.25 USDC price, a prepaid-key payment path, and the non-obvious fallback where an unpaid call returns pricing instead of an error or a report. It stops short of covering failure/refund behavior or rate limits, but the payment semantics are the key trait and they are disclosed.

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?

The cost warning is front-loaded in caps, which is the right call for a paid tool, and the whole definition is two dense sentences with no filler. The list of check categories is slightly compressed but each item earns its place as scope 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?

For a two-parameter tool with no output schema, the description carries the burden of describing the return value and does so at a reasonable level — it names the check categories and the neutral analysis, plus the alternate pricing response. It would be stronger with a note on how flags are summarized, but nothing essential to correct invocation is missing.

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 address and credit_key are already documented in structured fields. The description reinforces the credit_key payment behavior but adds no new format, sourcing, or constraint detail beyond what the schema states, 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?

The description names a specific verb and resource — a token rug/honeypot check on Base — and enumerates the dimensions checked (GoPlus flags, taxes, ownership, holders, DEX liquidity, source verification). It is clearly a token-level tool rather than a wallet or generic contract tool, though it never explicitly contrasts itself with kairos_contract_check, which an agent could plausibly confuse it with.

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?

It gives one concrete usage rule: pass credit_key to pay, otherwise you get pricing and payment options back instead of a report. That is genuinely useful, but there is no guidance on when to prefer this over kairos_contract_check or kairos_wallet_profile, and no statement of when a token check is unnecessary.

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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