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Attribution and label for one address

contract_attribution

What ClearTrace knows about a single contract or wallet address: its per-chain volume split across the four attribution vectors, plus any label resolved for it.

Most useful on the ANONYMOUS routers and proxies that aggregate views leave unnamed -- that is the differentiated question this answers. Known, named protocol contracts are often keyed by name rather than address upstream and may return nothing here, so an empty result for a famous router is not evidence the address is obscure.

An address that resolves to no label is reported with a null label. Report that as 'not identified', which is what it means: these are genuinely anonymous deployments, and guessing an operator from volume or deployer alone has been wrong before.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
addressYes

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden and does so well: it explains the null-label behavior, instructs the agent to report it as 'not identified', and cautions against guessing an operator. It does not cover auth, rate limits, or error behavior, but it discloses the most important data quirks.

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 front-loaded with the core purpose and organized into three short paragraphs, each adding a distinct piece of guidance. It is slightly longer than strictly necessary, but the caveats about named contracts and null labels earn their place.

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 simple two-parameter lookup with no output schema, the description explains the high-level return content and important edge-case semantics. The main gap is chain parameter semantics and the meaning of the four attribution vectors, but an agent has enough context to select and invoke the tool.

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 description coverage is 0%, so the description needed to compensate for the undocumented address and chain parameters. It clarifies that the lookup targets one contract or wallet address and mentions per-chain volume, but it never explains the chain parameter's format, allowed values, or what omitting it means.

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 clearly states what the tool returns: ClearTrace's attribution data and label for a single contract or wallet address, including per-chain volume splits. It differentiates itself by emphasizing the anonymous-router use case, though it does not explicitly name sibling tools.

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

Usage Guidelines5/5

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

The description explicitly says the tool is most useful for anonymous routers and proxies, warns that named protocol contracts may return nothing, and explains that an empty result is not evidence the address is obscure. This gives the agent clear when-to-use and when-not-to-use guidance.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct concern: aggregate attribution, per-address attribution, execution quality, transaction classification, gas prices, revert rates, and API key management. Even the closest pair (execution_benchmarks vs revert_rates) is clearly separated by the descriptions, which explicitly warn against conflating them.

Naming Consistency3/5

All names use snake_case, but the pattern is mixed: some tools are noun phrases (attribution, contract_attribution, execution_benchmarks, gas_prices, revert_rates) while others are imperative verbs (explain_transaction, request_api_key). This is readable and mostly conventional, but not a uniform verb_noun pattern.

Tool Count5/5

Seven tools is well-scoped for a specialized DEX attribution analytics server. Each tool covers a meaningful capability without redundancy or bloat.

Completeness4/5

The core workflow is well covered: aggregate volume attribution, single-contract lookup, execution quality, transaction explanation, revert risk, and gas context. Minor gaps exist around chain discovery and historical time-range selection, but agents can accomplish the main analysis tasks without dead ends.

Resources