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audit_cluster

Given a set of wallets, find who funded each one and collapse them into clusters of common control.

Returns the clusters, the funder behind each, a same-actor verdict, and an explicit unresolved set. Addresses sharing a funding source are not independent. Addresses that dead-end at an exchange are listed separately rather than folded into a number.

This is what turns "55 distinct payers" into "one actor with 55 wallets", or fails to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lineNooptional — credential from the /pay socket. With it the call is served off your line and carries no payment. Without it, put x402 payment in params._meta.
tokenNooptional string — the asset to follow, 0x form. Defaults to the chain's main stablecoin.
to_blockNooptional int — where to stop. Defaults to the head.
addressesYesarray — the wallets to test for common control, 0x form. Two to a few hundred.
from_blockNooptional int — where to start. Defaults to the token's deployment if known, else 0.

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds meaningful traits: addresses sharing a funding source are treated as non-independent, exchange-dead-end addresses are listed separately rather than merged, and the call can 'fail to' establish common control, producing an explicit unresolved set. This goes well beyond the schema and helps set expectations.

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 moderately sized but well organized: a one-line core function, a returns/caveats paragraph, and a purpose-driven example. It front-loads the main operation and uses the final sentence to clarify value without being redundant. It is not overly terse, and each sentence adds 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?

There is no output schema, so the description responsibly enumerates what is returned: clusters, the funder behind each, a same-actor verdict, and an unresolved set. It also covers an important edge case (exchange dead-ends). For a tool with five parameters and moderate complexity, this is a solidly complete picture, though it does not describe exact return shapes or error conditions.

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 the baseline is 3. The description adds some conceptual context for the addresses parameter (wallets to test for common control, sharing a funding source is meaningful) but provides no additional semantic detail for line, token, from_block, or to_block beyond what the schema already documents.

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 states a clear action: given wallets, trace funding and collapse them into clusters of common control. It names the returned artifacts and the transformation goal. While it does not explicitly call out sibling tools like audit_funders or audit_payers, 'clusters of common control' is a distinctive deliverable that separates it from those.

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?

Usage is implied rather than stated: the description makes clear this is for turning many addresses into a smaller set of controlled clusters, and the closing line explains its purpose ('turns 55 distinct payers into one actor'). It does not provide explicit when-to-use/when-not-to-use guidance or mention alternatives among the listed siblings, so it stops at implied usage.

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

A3.9/5.0
Disambiguation4/5

The audit_* tools are carefully differentiated: cluster groups wallets, funders traces inbound transfers for one wallet, payers decodes channel openers. The notes_* tools also have clear lifecycle separation, and sample vs rpc is distinguished by free vs paid access. Minor overlap exists between sample and rpc since both expose RPC methods, but the descriptions make the boundary clear.

Naming Consistency3/5

There are consistent internal prefixes like audit_* and notes_*, but the overall surface mixes verb_noun (audit_cluster, audit_funders), noun_verb (notes_post, notes_read), and single bare words (rpc, sample, tick, how_to_pay). The names are readable and groupable, but they do not follow one predictable convention across the whole server.

Tool Count5/5

Ten tools is well within the ideal scope for a server with distinct functional areas: on-chain auditing, notes, RPC access, and payment/settlement. Each tool has a clear job, and none feel redundant or superfluous.

Completeness4/5

The core workflows are well covered: cluster auditing, funder/payer investigation, notes post/read/sign, RPC access, and payment instructions/settlement. A minor gap is the lack of a dedicated usage or credit read tool, though tick and how_to_pay partially cover the payment lifecycle.

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