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counterparty_check

Should you PAY or INTERACT with this ADDRESS? The pre-payment / pre-interaction screen for the agent economy: scam/drain/sanction flags + whether it's a KNOWN entity (exchange/protocol/token contract) + its on-chain track record (contract vs wallet, age, prior deploys). THE check before an agent sends funds to an address, pays an x402 endpoint, receives a transfer, or approves a contract. Read-only. Returns safe_to_interact (false = red flag, null = unproven, true = known entity). Needs a 0x address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNochain: ethereum, base, polygon, arbitrum, optimism, bsc, robinhood (default ethereum)
addressYesthe 0x address you're about to pay or interact with

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries full burden. It explicitly states 'Read-only', describes the output values (safe_to_interact false/null/true), and lists the safety checks performed. This is thorough and goes beyond the schema.

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 description is longer than the calibration high example but remains focused and front-loaded with the core question. Some redundancy exists between 'pre-payment / pre-interaction' and 'THE check before an agent sends funds...', but each sentence adds useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple schema, lack of annotations, and no output schema, the description provides sufficient context: input requirements, return semantics, use cases, and read-only nature. It is complete for an agent to decide when and how to use this tool.

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 coverage is 100%, so baseline is 3. The description adds little beyond the schema: it reinforces '0x address' format (already in schema) and does not elaborate on chain values. The schema adequately documents both parameters.

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?

The description clearly states what the tool does: it screens an address before payment or interaction, checking for scam/drain/sanction flags, known entity status, and on-chain track record. It distinguishes itself from siblings by positioning as the pre-payment/interaction check and specifying the safe_to_interact return value.

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

Usage Guidelines4/5

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

The description gives explicit use cases: 'THE check before an agent sends funds to an address, pays an x402 endpoint, receives a transfer, or approves a contract.' It does not mention alternatives or exclusions, but the context is clear and actionable.

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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TDQS

A3.7/5.0
Disambiguation3/5

Many tools share the same core purpose (safety checks) differentiated mainly by chain or asset type, and descriptions are detailed enough to distinguish them most of the time. However, pairs like rug_check/rugcheck and deployer_check/deployer_reputation have overlapping purposes that could lead to misselection.

Naming Consistency3/5

Most tool names follow a lowercase snake_case pattern with clear descriptors, but there are notable exceptions like 'rugcheck', 'defillama', and 'verify'. Additionally, the 'rug_check' vs 'rugcheck' pair is an obvious naming inconsistency.

Tool Count2/5

44 tools is excessive for any server. Even for a broad security/due-diligence purpose, many tools (especially the robinhood_* series) are highly specialized and could be consolidated into fewer actions.

Completeness4/5

The tool surface is impressively comprehensive, covering token/NFT safety, transaction simulation, whale/address tracking, stock analysis, prediction markets, and project validation. Minor gaps exist (e.g., no ENS resolution or stock price history), but they are not critical for the server's core purpose.

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