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Name Whisper — ENS Intelligence Layer

reclaim_name

DestructiveIdempotent

Reclaim ENS Registry ownership of a .eth name.

This syncs the ENS Registry owner to match the BaseRegistrar token owner. Used when:

  • A name was transferred via direct safeTransferFrom (bypassed ENS routing)

  • ENS Registry ownership is out of sync with token ownership

  • Recovery after a contract migration or edge case

The caller must own the BaseRegistrar ERC-721 token for the name. After reclaiming, you may also need to set the resolver if it was cleared.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesENS name to reclaim (e.g. "coffee.eth")
ownerYesAddress to set as the ENS Registry owner (must own the BaseRegistrar token)

TDQS

A4.2/5.0
Behavior4/5

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

The description adds behavioral context beyond the annotations: it explains the tool modifies ENS Registry ownership, is idempotent (implicitly from 'sync'), and notes that after reclaiming the resolver may need to be set. This complements the destructiveHint=true and idempotentHint=true annotations without contradiction.

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 five sentences, well-structured with bullet points for use cases. Every sentence adds value, and there is no wasteful or repetitive content. It is appropriately concise.

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 mutation tool with no output schema, the description covers prerequisites, use cases, and post-conditions (resolver may need setting). It lacks explicit mention of failure conditions or return value, but given the idempotent and destructive hints, this is adequate for selection and invocation.

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% with descriptions for both parameters. The description only adds prerequisite context (must own token) which is partially covered by schema descriptions. It does not significantly enhance understanding beyond what the schema provides, so a baseline 3 is appropriate.

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 the verb 'reclaim' and the resource 'ENS Registry ownership of a .eth name', explaining it syncs the ENS Registry owner to match the BaseRegistrar token owner. It also lists specific use cases (direct transfer, out of sync, recovery) that distinguish it from sibling tools like transfer_ens_name or wrap_name.

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 explicitly lists when to use the tool (three specific scenarios), and states the prerequisite that the caller must own the BaseRegistrar ERC-721 token. It does not explicitly say when not to use it, but the use cases are clear enough for an AI agent to decide.

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.