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seo_bulk_approve_clusters

Approve multiple SEO clusters in a single call to trigger asynchronous brief generation for each. Poll the returned operation IDs to track progress until completion.

Instructions

Step 5b — bulk-approve N clusters in one call. Recommended path when an agent wants to move multiple clusters forward. Approving a cluster fires an async seo_brief_generate Operation per cluster; brief generation only runs on approved clusters. Typically takes ~2–5 min per cluster. Response includes operations: [{ clusterId, operationId }] and operationIds: string[] — Poll get_job with the operationId until state is completed (or failed/partially_failed/cancelled on error).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandIdNoBrand ID (defaults to active brand)
clusterIdsYesCluster IDs from seo_list_clusters to approve
Behavior5/5

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

With no annotations provided, the description fully discloses key behavioral traits: it fires an async seo_brief_generate Operation per cluster, only on approved clusters, typical duration, response shape, and polling instructions. This is comprehensive and goes beyond bare operation.

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 front-loaded with the core purpose and uses every sentence for essential information: async behavior, timing, response format, and polling steps. No filler or redundant content.

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

Completeness5/5

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

Given the lack of an output schema and annotations, the description is remarkably complete. It explains the asynchronous workflow, expected duration, response structure, and how to check status via get_job, leaving no critical gaps for an agent to invoke and follow up.

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 coverage is 100%, so parameters are already well-documented. The description does not add substantial new parameter semantics beyond the schema; it only restates that clusterIds identify clusters to approve, which is already in the schema.

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 uses a specific verb 'bulk-approve' and resource 'clusters', clearly distinguishing it from siblings like seo_approve_cluster and seo_bulk_reject_clusters. It also states the operation is done 'in one call', providing clear scope.

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 description provides clear context with 'Step 5b' and 'Recommended path when an agent wants to move multiple clusters forward.' It does not explicitly mention alternatives or when-not-to-use, but the intent is well conveyed.

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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