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seo_delete_keyword

Soft-delete junk SEO keywords that the auto-pipeline missed. Confirm with true to hide them from all queries.

Instructions

Soft-delete a single SeoScoredKeyword (sets deletedAt; the row stays in the DB but is filtered out of all queries). Housekeeping op — not part of the main flow. Pass confirm: true to proceed. Use for obvious junk keywords the auto-pipeline missed. Prefer seo_edit_keyword with excludedFromClustering=true when you only want to hold a keyword out of the next clustering pass.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandIdNoBrand ID (defaults to active brand)
confirmYesMust be true to confirm soft-delete
keywordIdYesKeyword ID from seo_list_keywords
Behavior5/5

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

No annotations are provided, so the description carries full burden. It discloses the soft-delete mechanism (sets deletedAt, row stays in DB, filtered out of queries) and the required confirmation flag. This gives the agent a solid understanding of safety and side effects.

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?

Three sentences, each with distinct value: mechanism, context, and usage guidance/alternative. No wasted words, and important information is front-loaded.

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?

For a simple 3-param tool with no output schema, the description covers purpose, behavior, confirmation requirement, usage context, and an alternative. It is fully sufficient for an agent to invoke safely.

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%, with each parameter already described. The description reinforces that confirm must be true, but does not add substantial new meaning beyond the schema. Baseline of 3 is appropriate.

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 action: 'Soft-delete a single SeoScoredKeyword' with specific behavioral details. It distinguishes itself from sibling tools by noting it is a housekeeping op and contrasting with seo_edit_keyword for a different use case.

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

Usage Guidelines5/5

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

Explicitly states when to use: 'Use for obvious junk keywords the auto-pipeline missed.' Provides a clear alternative: 'Prefer seo_edit_keyword with excludedFromClustering=true when you only want to hold a keyword out of the next clustering pass.' Also notes it is 'not part of the main flow.'

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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