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Read the exact saved conversion review, delivery mode, consent state, current human approval and qualification

native.genads_conversion_review
DestructiveIdempotent

Read the exact saved conversion review, delivery mode, consent state, current human approval and qualification. Never approve events yourself or infer approval from chat. Use these exact references for an explicitly requested delivery.

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_conversion_review"
  }
}

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

C2.5/5.0
Behavior1/5

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

Annotations declare readOnlyHint=false and destructiveHint=true, but the description frames the tool as a read ('Read the exact saved conversion review') and warns not to approve events. That directly conflicts with the read-only/destructive profile, so the description's behavioral disclosure is misleading rather than additive.

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?

Two sentences, front-loaded with the resource and returned facets. The list of facets is dense but earns its place; no obvious filler, though the delivery/approval clause is cryptic.

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

Completeness2/5

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

For a complex tool with nested required arguments, six parameters, and a high-stakes approval/qualification workflow, the description omits essential invocation guidance and conflicts with its annotations. The output schema covers return values, but the input-side and safety context remain incomplete.

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 coverage is only 50%, and the description never explains work_id, arguments.account_id, arguments.batch_id, or request_key. 'Use these exact references' is too vague to add meaning for the undocumented required parameters, so the description does not compensate for the schema 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?

States a specific verb ('Read') and resource ('saved conversion review'), and enumerates the review facets returned. It is clear enough to distinguish from generic list tools, though it does not explicitly name a sibling alternative.

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

Usage Guidelines2/5

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

The only usage direction is a vague 'Use these exact references for an explicitly requested delivery' plus a prohibition on self-approval. It does not explain when to call this versus conversion_result, conversion_batches, or other genads review tools, nor what qualifies as an explicitly requested delivery.

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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