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Claim your product's domain

claim_domain
Idempotent

Step 1 of 3 (claim, verify, order): adds your product's domain. An account email on the domain (or a subdomain or parent of it) verifies it at once, unless the domain is one where anyone can get an address (a mailbox provider's, or ours: agentdrives.com, matfy.com) and queues its free check (private); pending then says why your address didn't. Otherwise it returns the ways to prove it: a code mailed to any address at the domain, a DNS TXT record, a meta tag on the home page or a file at /.well-known/agentdrive-verify.txt (the code: send_claim_code).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoDirectory slug, if listed
domainYesYour product's domain, e.g. acme.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses the tiered verification logic (account email on the domain verifies instantly), the carve-out for mailbox providers and its own domains (agentdrives.com, matfy.com) with a queued free private check, the failure feedback via 'pending', and the four alternative proof methods with concrete artifact paths. For a write operation (readOnlyHint=false) this is unusually rich behavioral context.

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

Conciseness3/5

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

It front-loads the workflow position well, and nearly every clause carries real information, but the middle is a dense run-on chain of nested conditions that is hard to parse. Tighter grouping (instant-verify / queued-check / alternative proofs) would preserve the content with better structure.

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?

With no output schema, the description does the work of explaining what happens after the call (verification outcomes, pending reasons, returned proof methods). An agent has enough to invoke it correctly; only the absence of any next-step pointer to verify_claim leaves a small gap.

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 both parameters are already documented. The description adds nothing about parameter syntax or semantics and never mentions the optional 'tool' (directory slug) parameter at all, so the baseline 3 applies.

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?

States a specific verb and resource ('adds your product's domain') and situates it explicitly as step 1 of a named 3-step workflow (claim, verify, order), which cleanly separates it from siblings like verify_claim, order, and send_claim_code. An agent can tell what this does and where it sits in the flow without opening the schema.

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 'Step 1 of 3' framing implies when to reach for it and names the downstream sequence; pointing at send_claim_code for the verification code is explicit routing. It never names verify_claim as the mandatory next call, so the handoff is implied rather than stated.

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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