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Python
Hybrid

meta_ads_audiences_delete

Delete a Meta Custom Audience and break ad set targeting that depends on it. Verify dependent ad sets first and log before-state to support rollback.

Instructions

Deletes a Custom Audience. Returns a success flag. Destructive — any ad sets currently targeting this audience lose the targeting source and may stop delivering. Not automatically reversible — record before-state with mureo_state_action_log_append if you may need to roll back (and note that re-creation does not restore the original approximate_count). Call meta_ads_audiences_get first to confirm which ad sets use it (search ad_sets.list targeting specs client-side), and consider pausing those ad sets first.

Input Schema

NameRequiredDescriptionDefault
reasonNoWhy this change is being made: one or two sentences naming the evidence and the expected effect. Stored in the journal and on the action_log entry this call produces, for the operator and the next session.
approvalNoExternal approval this change carries out (recorded and shown, never verified)
expectedNoExpected effects [{metric, direction, target?, horizon_days?, primary?}], exactly one primary:true when several; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold.
account_idNoMeta Ads account ID in the format 'act_XXXXXXXXXX' (e.g. 'act_1234567890'). Optional — falls back to META_ADS_ACCOUNT_ID from the configured credentials. The leading 'act_' prefix is required.
audience_idYesAudience ID to delete.
decision_idNoA proposed decision this change carries out.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.33.0
    • changedInput schema / properties / expected / description
      Previous value: -"Expected effects [{metric, direction, target?, horizon_days?}]; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold."New value: +"Expected effects [{metric, direction, target?, horizon_days?, primary?}], exactly one primary:true when several; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold."
  2. Changed1 schema field changedv0.28.0
    • addedInput schema / properties / approval
      Added value: +{
+  "additionalProperties": false,
+  "description": "External approval this change carries out (recorded and shown, never verified)",
+  "properties": {
+    "approved_at": {
+      "maxLength": 64,
+      "type": "string"
+    },
+    "approved_by": {
+      "maxLength": 80,
+      "type": "string"
+    },
+    "reference": {
+      "maxLength": 128,
+      "type": "string"
+    }
+  },
+  "required": [
+    "reference",
+    "approved_by",
+    "approved_at"
+  ],
+  "type": "object"
+}
  3. Changed2 schema fields changedv0.26.0
    • addedInput schema / properties / decision_id
      Added value: +{
+  "description": "A proposed decision this change carries out.",
+  "maxLength": 128,
+  "minLength": 1,
+  "type": "string"
+}
    • addedInput schema / properties / expected
      Added value: +{
+  "description": "Expected effects [{metric, direction, target?, horizon_days?}]; metric cpa/cpc/cpl/cpm/conversions/cvr/ctr/roas/cost/spend/clicks/impressions; direction up/down/hold.",
+  "maxItems": 12,
+  "type": "array"
+}
  4. Changed1 schema field changedv0.20.0
    • addedInput schema / properties / reason
      Added value: +{
+  "description": "Why this change is being made: one or two sentences naming the evidence and the expected effect. Stored in the journal and on the action_log entry this call produces, for the operator and the next session.",
+  "maxLength": 500,
+  "type": "string"
+}
  5. Changed1 schema field changedv0.10.37
    • addedInput schema / additionalProperties
      Added value: +false
  6. Addedv0.9.12
  7. Removedv0.9.6
  8. Addedv0.9.2
  9. Removedv0.9.1
  10. Addedv1.0.5

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so: it discloses the downstream blast radius (ad sets lose their targeting source and may stop delivering), irreversibility, and a subtle non-obvious limit (re-creation does not restore approximate_count). That is exactly the behavioral context annotations would otherwise supply.

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?

Front-loaded with purpose and return value, then consequences, then procedure — good ordering with no filler. The final sentence packs two interleaved instructions (verify usage, consider pausing) into one long clause, which slightly reduces scannability.

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 6-parameter destructive mutation with no annotations and no output schema, the description supplies everything critical: return shape, downstream effects, reversibility caveats, and the recommended verify-then-log workflow. Remaining parameter detail is fully covered by the schema, so nothing an agent needs is missing.

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 description coverage is 100%, so every parameter including reason, approval, expected, and decision_id is already documented in structured data. The description adds no syntax or format guidance for audience_id or account_id beyond what the schema states, so the baseline 3 applies.

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?

Specific verb + resource ("Deletes a Custom Audience") in the first three words, plus a stated return value. An agent can distinguish it immediately from meta_ads_audiences_get, meta_ads_audiences_list, and meta_ads_audiences_create without opening any schema.

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?

Gives explicit preconditions and sequencing: call meta_ads_audiences_get first, search ad_sets.list targeting specs client-side, consider pausing those ad sets first, and log before-state with mureo_state_action_log_append if rollback may be needed. It names the alternative mitigation (pause) rather than only the destructive action.

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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