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Name Whisper — ENS Intelligence Layer

provision_agent_identity

Destructive

Provision a complete ENS identity for an AI agent in one call. Describe your agent's purpose and budget — get back recommended available names, a multi-step registration recipe (commit → register → set agent records), and ready-to-sign transaction data.

The registration recipe includes agent identity records (ENSIP-25: ai.agent, ai.purpose, ai.capabilities + ENSIP-26: agent-context) as a mandatory step — these records make the agent discoverable in the ENS Agents directory. ENSIP-25 agent-registration binding is included ONLY when an agentRegistry is provided; it is OPTIONAL — do not ask for or wait on a registry address / agent ID, and never block the launch on it. The recipe then OPTIONALLY mints the on-chain ERC-8004 agent identity via the register_agent tool (default route binds the agent to the name per ERC-8217, so it transfers with the name), and finishes with launch_hosted_agent — the gas-free step that prepares the agent's brain on a card; the user saves it on the card, ticking "go live" to put it live at namewhisper.ai/agent/.

IMPORTANT: The calling AI MUST execute all steps in the recipe, including the final set_ens_records step. Agent identity is not complete until the text records are on-chain.

Example: "DeFi trading bot, 0.05 ETH budget" → names like swiftswap.eth with full registration + identity setup instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
purposeYesWhat the agent does (e.g. "DeFi trading bot", "data analytics agent", "social media manager", "infrastructure monitor")
budgetEthNoMaximum budget in ETH for name acquisition (default: 0.1)
preferencesNoOptional naming preferences
agentRegistryNoENSIP-25 agent registry binding. If provided, the provisioning flow will include the agent-registration text record that links this ENS name to your on-chain agent identity.
walletAddressYesAgent wallet address (will own the name and sign transactions)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / preferences / properties / style / description
      Previous value: -"Naming style preference"New value: +"Naming style — shapes generated names: professional (prime/apex + labs/systems), creative (spark/muse + forge/studio), technical (proto/async + node/daemon), minimal (neo/zen + ai/io). Pass the style the user asks for."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations flag destructive=true, idempotent=false, readOnly=false, so the mutation burden is partly covered. The description adds real behavioral context beyond that: which step is gas-free, that the registry binding is conditional on agentRegistry, that identity isn't complete until text records are on-chain, and that it returns ready-to-sign transactions rather than signing them. It doesn't spell out that ETH is actually spent or that steps are irreversible.

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?

Front-loaded with the one-line purpose before the flow detail, and every paragraph carries routing or behavioral content. It is on the long side and repeats 'OPTIONAL/OPTIONALLY' several times, and it references launch_hosted_agent, which is not in the sibling list, adding mild noise.

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 correctly takes on the return-value burden by describing the names, recipe, and transaction data it emits. For a composite tool with nested parameters it is nearly complete, though the monetary/irreversibility consequences of executing the recipe could be stated more plainly.

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?

Schema coverage is 100%, so the baseline is 3. The description pushes above baseline by explaining the effect of agentRegistry (ENSIP-25 binding only included when provided, tracking the agent identity, default ERC-8217 transfer-with-name behavior) and by tying budgetEth to the naming/registration spend, which the schema alone does not convey.

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?

Specific verb+resource: 'Provision a complete ENS identity for an AI agent in one call.' It states the exact outputs (recommended names, a registration recipe, ready-to-sign transaction data), which sharply distinguishes it from granular siblings like register_agent, set_ens_records, and search_ens_names that each do one slice of this flow.

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?

It clearly frames the input contract ('Describe your agent's purpose and budget') and lays out the flow's mandatory vs optional steps, naming which siblings get invoked (register_agent, set_ens_records, launch_hosted_agent). It even warns not to block on a registry address. What's missing is an explicit statement of when NOT to use this composite tool in favor of calling the individual steps directly.

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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