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Python
Hybrid

google_ads_conversions_update

Partially update an existing Google Ads conversion action via FieldMask mutate, changing only supplied fields such as name, status, category, value, or attribution windows while preserving the rest.

Instructions

Update fields on an existing Google Ads conversion action via FieldMask mutate. Returns {resource_name} of the updated row. Mutating — partial update: only the fields you pass are modified, the rest are preserved. At least one updatable field must be supplied (name, category, status, default_value, always_use_default_value, click_through_lookback_window_days, view_through_lookback_window_days) or the call raises ValueError. To delete/archive an action use status 'REMOVED' here or call google_ads_conversions_remove.

Input Schema

NameRequiredDescriptionDefault
nameNoNew display name (max 256 characters). Omit to leave the name unchanged.
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.
statusNoNew status. 'ENABLED' counts toward 'Conversions' column; 'HIDDEN' excludes it from the column but keeps the action; 'REMOVED' archives it.
approvalNoExternal approval this change carries out (recorded and shown, never verified)
categoryNoNew category. Must match the allowed enum.
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.
customer_idNoGoogle Ads customer ID as a 10-digit string without dashes (e.g. '1234567890'). Optional — falls back to GOOGLE_ADS_CUSTOMER_ID / GOOGLE_ADS_LOGIN_CUSTOMER_ID from the configured credentials when omitted.
decision_idNoA proposed decision this change carries out.
default_valueNoNew default conversion value in account currency.
conversion_action_idYesConversion action ID as a numeric string (e.g. '987654321'). Obtain via google_ads_conversions_list.
always_use_default_valueNoToggle whether default_value always overrides tag-supplied values.
view_through_lookback_window_daysNoNew view-through attribution window in days (1-30).
click_through_lookback_window_daysNoNew click-through attribution window in days (1-90).

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. Addedv0.10.11
  7. Removedv0.10.9
  8. Addedv0.9.12
  9. Removedv0.9.6
  10. Addedv0.9.2
  11. Removedv0.9.1
  12. Addedv1.0.5

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full disclosure burden, and it does well: it declares mutation, partial-update preservation semantics, the ValueError on empty field set, and the return shape ({resource_name}). It stops short of mentioning permission/scope requirements or any reversal/rollback implications, which keeps it at 4 rather than 5.

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?

Four tight sentences, mutation and partial-update semantics front-loaded, then the failure precondition, then the delete alternative. No filler or restatement of the name.

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

Completeness4/5

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

For a 13-parameter mutation with nested objects and no output schema, the description covers mutability, partial-update behavior, error condition, and return value. The unusual journal-related params (reason, approval, expected, decision_id) are fully described in the schema, so no serious gap remains, though the description could note the side-effect recording those params imply.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3; the description adds value by enumerating the exact updatable field set and by adding a cross-field constraint ('at least one updatable field must be supplied') that the schema alone does not encode. It also clarifies that REMOVED is the archive semantic for status.

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?

States a specific verb and resource ('Update fields on an existing Google Ads conversion action') plus the mechanism (FieldMask mutate). Distinguishes it from conversions_create, conversions_remove, and conversions_get without opening a 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?

Explicitly frames the operation as a partial update (only passed fields modified) and names the alternative path for deletion: status 'REMOVED' here or google_ads_conversions_remove. The 'at least one updatable field' precondition tells the agent when the call will fail.

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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