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Read the exact saved human review and qualification for a catalog plan

native.genads_catalog_sync_review
DestructiveIdempotent

Read the exact saved human review and qualification for a catalog plan. Never infer approval from chat or approve a plan yourself.

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_catalog_sync_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

C2.9/5.0
Behavior2/5

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

The description frames this strictly as a read ('Read the exact saved human review... Never ... approve a plan yourself'), while annotations declare readOnlyHint=false and destructiveHint=true — an agent taking the annotations at face value would treat a plain retrieval as state-mutating and destructive. The guardrail against self-approval is genuinely useful behavioral context that annotations cannot convey, but it does not resolve the read-versus-destructive conflict or explain idempotency, open-world lookups, or what a missing review looks like.

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 short sentences with no filler; the purpose is front-loaded and the guardrail follows it. Nothing is redundant. The trade-off is that the brevity reads as under-specification rather than discipline, but within this dimension the text is tight and well-ordered.

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?

An output schema exists, so return-value explanation is not required, but the tool has five required parameters, a nested arguments object, and a skill-proof envelope, and the description says nothing about any of them. It also gives no indication of what happens when no review has been saved yet, which is the most likely failure mode for a review-lookup tool. Given the complexity and the contradictory annotations, the description is too thin to call it correctly without trial and error.

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 50% and the description explains none of the six parameters. The nested 'arguments.plan_id' envelope, 'work_id', and 'request_key' carry no meaning in the description at all, and even the envelope pattern (why a plan id is nested inside an arguments object) is left entirely to inference. The only parameters documented anywhere — read_skills and expected_catalog_version — are documented in the schema, not the description, so the description adds no semantic value.

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?

A specific verb plus resource: 'Read the exact saved human review and qualification for a catalog plan.' The word 'saved' plus 'exact' distinguishes it from inferring a review from chat context, which is a real discriminator. It does not, however, distinguish itself from nearby siblings such as native.genads_catalog_sync_plans, native.genads_check_catalog_sync, or native.genads_catalog_syncs, so an agent must guess which of these retrieves the recorded human review.

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?

Usage is implied (consult this when you need the recorded human qualification of a catalog plan) and there is one explicit prohibition: never infer approval from chat and never approve a plan yourself. That is guidance about what not to conclude, not about when to call this versus a sibling or what prerequisite state must exist. No mention of the sequence (plan → request → review → apply) that a caller would need.

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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