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Name Whisper — ENS Intelligence Layer

set_resolver

DestructiveIdempotent

Change the resolver contract for an ENS name.

The resolver is where a name's records live (ETH address, text records, content hash, etc.). Changing the resolver points the name at a different contract.

Common use cases:

  • Migrating to the latest ENS Public Resolver

  • Pointing to a custom resolver (e.g. for off-chain/CCIP-read resolution)

  • Fixing a name that has no resolver set

Pass "public" as the resolver address to use the ENS Public Resolver (0xF29100983E058B709F3D539b0c765937B804AC15).

WARNING: Records on the old resolver won't be visible after switching. Set up records on the new resolver first, or use the ENS Public Resolver which most names already use.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesENS name to change resolver for (e.g. "coffee.eth")
resolverYesNew resolver contract address. Use "public" for the ENS Public Resolver.

TDQS

A4.6/5.0
Behavior5/5

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

Beyond annotations (destructiveHint, idempotentHint), the description adds a crucial warning: 'Records on the old resolver won't be visible after switching. Set up records on the new resolver first.' This transparently discloses the destructive effect and provides mitigation advice, fully satisfying the dimension.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with a clear structure: summary, conceptual explanation, use cases, special parameter value, and warning. Every sentence serves a purpose, and the most critical info (purpose) is front-loaded. No redundancy.

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?

Given the absence of an output schema, the description provides sufficient context for an agent to invoke the tool correctly. It covers what the tool does, when to use it, and behavioral consequences. A minor gap is not describing the return type (e.g., transaction receipt), but the action-oriented context is complete enough for deterministic use.

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

Parameters4/5

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

Input schema covers both parameters with descriptions, but the description adds value by detailing the 'public' shortcut for the resolver parameter, saving the agent from looking up the address. This extra semantic enhancement justifies a score above baseline 3.

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 starts with a clear verb+resource: 'Change the resolver contract for an ENS name.' It explains what a resolver does and lists common use cases, making the purpose unmistakable. While it doesn't explicitly differentiate from siblings, the tool's function is unique enough to be well-understood.

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 provides explicit when-to-use guidance via common use cases (migrating, custom resolver, fixing no resolver) and mentions using 'public' for the ENS Public Resolver. It lacks explicit when-not-to-use statements, but the context is adequate for correct selection among siblings.

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

A4.3/5.0
Disambiguation4/5

Most tools have clearly distinct purposes with detailed descriptions, but some pairs (e.g., search_ens_names vs enumerate_entities, batch_purchase vs sweep) could cause confusion due to overlapping functionality. The descriptions help differentiate, but the large number of tools increases ambiguity risk.

Naming Consistency5/5

All tool names use consistent snake_case with a verb_noun pattern (e.g., get_name_details, set_ens_records, batch_create_listings). Naming conventions are uniform and predictable, making it easy to infer tool purpose from the name.

Tool Count4/5

With 44 tools, the server is quite comprehensive, covering a wide range of ENS operations. While this exceeds the typical 3-15 tool count, the scope of the domain (marketplace, registration, agent identity, etc.) justifies the number, and tools are well-organized into logical groups.

Completeness5/5

The tool surface covers the full lifecycle of ENS names: registration, renewal, wrapping, transfers, marketplace actions (listings, offers, purchases), record management, subnames, agent identity, and market intelligence. No obvious gaps are present for an ENS intelligence platform.