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domains_update_dns_zone_records

Apply a changeset to add, set, delete, or clear records in a DNS zone. Modify resource records without creating new zones automatically.

Instructions

Apply a changeset to the records of a DNS zone.

Records have no tags, so nothing created here carries the managed marker.

Each entry in changes is a Scaleway record-change object with exactly one of the keys add, set, delete or clear. For example::

[{"add": {"records": [
    {"name": "www", "type": "A", "data": "1.2.3.4", "ttl": 3600}
]}}]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changesYesList of record-change objects (see above).
dns_zoneYesThe DNS zone to modify, e.g. ``example.com``.
return_all_recordsNoIf True, the response includes every record in the zone rather than only those affected.
disallow_new_zone_creationNoIf True (default), fail rather than implicitly create the zone when it does not exist yet.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations exist, so the description must cover behavioral traits. It notes that records have no tags and nothing created carries a managed marker, which is useful side-effect information. However, it does not disclose failure modes, permissions, or rate limits, but for a DNS update tool the provided details are adequate.

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 extremely concise: one sentence defining purpose, one clarifying a behavioral detail, and a short code example. Every sentence is essential, and the key action appears first. No fluff.

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?

The tool has 4 parameters, a complex 'changes' array, and an output schema. The description adequately covers the changes format and a behavioral note, but omits details like error handling, idempotency, or default behaviors for parameters like 'return_all_records'. Still, it is sufficient for a mutation tool with an output schema.

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

Parameters5/5

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

Schema description coverage is 100%, providing a baseline of 3. The description goes beyond by explaining the structure of the 'changes' parameter: each entry must have exactly one of 'add', 'set', 'delete', or 'clear', with a concrete example. This adds significant meaning that the schema's generic description lacks.

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 tool's action: 'Apply a changeset to the records of a DNS zone.' This is specific (verb 'apply' + resource 'DNS zone records') and distinguishes itself from the sibling list tools (domains_list_dns_zone_records, domains_list_dns_zones). No ambiguity.

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

Usage Guidelines3/5

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

The description explains what the tool does but provides no guidance on when to use it versus alternatives or when not to use it. Sibling tools include list and other resource types (e.g., baremetal, billing), so the domain-specific usage is implied but not explicitly contrasted.

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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