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Export the quoted creative through the owned durable renderer

native.genads_export
DestructiveIdempotent

Export the quoted creative through the owned durable renderer. This spends the quoted credits and retains exact source and identity snapshots; it never approves creative or launches ads. Only act within the creator's deliberate production request and accepted budget.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "work_id": "<work_id>",
      "arguments": "<arguments>",
      "expected_catalog_version": "<expected_catalog_version>",
      "read_skills": "<read_skills>",
      "request_key": "<request_key>"
    },
    "name": "native.genads_export"
  }
}

Input Schema

NameRequiredDescriptionDefault
work_idYes
argumentsYes
read_skillsYesExact required native skills and their dependencies, copied from the accepted session bootstrap's skills array. Include only entries in that array. General mcp.* guides and native.{studio}.instructions are guidance, not native skill proofs.
request_keyYes
publication_proposal_idNoFor native Social scheduling, the exact server-approved publication proposal. This identifier cannot confer approval by itself.
expected_catalog_versionYesFor a new session, read a studios/{studio}/native/{pack} child toolset and copy invocation.catalog_version from a native tool descriptor. Do not use the top-level library version. For calls in an existing session, use that session proposal's catalog_version.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Beyond the annotations (which already flag destructive=true, idempotent=true, openWorld=true), the description adds substantive behavior: this call actually spends quoted credits, it retains exact source and identity snapshots, and it explicitly does not approve creative or launch ads. That cost and scope-boundary disclosure is exactly the kind of context annotations cannot carry. It stops short of describing failure/partial-failure behavior or how the durable renderer behaves on retry.

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?

Three sentences, no filler, and the most important fact — that this spends credits — is placed early. The phrasing "owned durable renderer" is somewhat internal jargon that costs a little clarity without adding information an agent can act on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be explained, and the annotations plus the credit/snapshot disclosure cover the safety and cost profile of this destructive, open-world operation. What remains missing is guidance on the required prior quote, the meaning of the revision/fingerprint/request_key parameters, and what happens on an insufficient-budget or stale-revision failure — significant for a six-parameter mutation tool.

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

Parameters2/5

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

Schema description coverage is only 50%, and two of the six parameters — work_id and the entire nested arguments object (operation_id, variant_id, expected_edit_revision, fingerprint, max_credits, output) — carry no schema description at all. The description might loosely gesture at max_credits via "accepted budget" and at fingerprint via "identity snapshots", but it never explains revision pinning, request_key idempotency, or the output kind/frame choice. It does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb and resource ("Export the quoted creative") and qualifies it with the renderer used, so an agent knows this is the export step that consumes a prior quote rather than a quoting or reporting tool. It does not, however, name or distinguish itself from the many adjacent siblings such as native.genads_quote_export, native.genads_export_pack, or native.genads_pack_export, leaving some ambiguity in a crowded namespace.

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?

"Only act within the creator's deliberate production request and accepted budget" is a real precondition, and "spends the quoted credits" implies a quote must already exist before calling. But it never states the explicit prerequisite step (native.genads_quote_export) or when to choose an alternative export sibling, so the when-to-use logic is inferred 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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