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Delete a value rule set

soclo_ads_delete_value_rule_set
DestructiveIdempotent

Soclo Ads: Delete a value rule set. Spending/deletion: preview, then owner-approved confirm:true with the same requestId. Claim live only when status is active. Fields: soclo://tools/soclo_ads_delete_value_rule_set.

Input Schema

NameRequiredDescriptionDefault
confirmNoTrue only after owner approval of spending/deletion preview.
platformNo
accountIdYes
requestIdNoReuse this request ID for confirmation and outcome recovery.
parametersYes
adAccountIdNoAdvertiser/ad account selected from your Soclo connection.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • removedInput schema / properties / accountId / description
      Removed value: -"The connected ad account in Soclo."
    • removedInput schema / properties / platform / description
      Removed value: -"The campaign platform."
  2. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already cover destructiveHint, idempotentHint and openWorldHint, so the description is not required to restate them. It adds real context beyond that: a preview-then-owner-approved-confirm gate and requestId reuse for confirmation/outcome recovery. The phrase 'Claim live only when status is active' is cryptic and unexplained, which holds it below a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loads the action, but the dangling 'Claim live only when status is active' sentence is unclear and the 'Fields: soclo://tools/...' pointer adds little. Density is fine; clarity per sentence is uneven.

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?

For a destructive tool with no output schema, the confirm/requestId workflow is the essential piece and is present. Missing: what the delete affects downstream (campaigns/ad sets referencing the rule set), how to poll the outcome, and what the account/adAccountId/platform parameters mean.

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 the parameters lacking descriptions (platform, accountId, nested valueRuleSetId) get no explanation in the description either. The only parameter detail it offers — confirm:true and reusing requestId — merely repeats what the schema already documents for those two fields.

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 names a specific verb and resource ('Delete a value rule set'), which distinguishes it from the sibling update/create/list value-rule-set tools by verb alone. It does not explicitly reference those siblings, but the action is unambiguous.

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?

It gives a procedural sequence ('preview, then owner-approved confirm:true with the same requestId'), which is useful usage guidance for a destructive call. However, it never names the preview or operation-status siblings, nor says when not to delete (e.g., rule set still in use), so the agent must infer the alternatives.

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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