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Google Ads MCP by InsightfulPipe

Ads Execute Action

execute_action
Destructive

Execute Google Ads action (Step 3 (FINAL) of workflow).

REQUIRED: Complete these steps first using query_contexts:

  1. request='accounts' - Get workspace_id, brand_id, account_id AND available_requests

  2. request='actions_details' with actions=['xxxxxx'] - Get detailed body structure for specific action(s) (use actions from available_requests)

IMPORTANT: Always call step 2 to see the exact body structure before executing.

Rely on info from steps 1-2 to construct the action body. Follow the schema exactly.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "body": "<body>"
    },
    "name": "execute_action"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false and openWorldHint=true, so the safety profile is known. The description adds process preconditions but says nothing about irreversibility, whether changes can be undone, rate limits, or what happens to partially applied actions — meaningful omissions for a destructive open-world write.

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-loads the workflow step and the non-negotiable prerequisites in a short numbered block with no filler. The capitalization and parenthetical stacking ('Step 3 (FINAL)', 'REQUIRED:', 'IMPORTANT:') add visual noise without extra information.

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?

An output schema exists, so return-value explanation is rightly omitted, and the discovery path compensates for the empty body schema. However, for a final, destructive step in a chained workflow, an agent would benefit from knowing failure semantics and side-effect scope, which are absent.

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 0% and the single `body` parameter is an untyped object with additionalProperties=true, so the schema teaches nothing. The description partially compensates by instructing the agent to fetch the exact body structure via actions_details and to 'follow the schema exactly', but it never characterizes the body's shape or required fields itself.

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?

States a concrete verb ('Execute') plus the resource ('Google Ads action') and pins its position as the final step of a three-step workflow, which cleanly separates it from query_contexts/query_data siblings. The weak point is that 'action' is never defined — the agent learns the possible actions only by following the pointer to step 2.

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?

Explicitly lists the two prerequisite calls (accounts, then actions_details) with the exact request values to use, and mandates step 2 before execution. It gives clear ordering but no guidance on what to do when an action fails, when an action is unavailable, or when not to execute at all.

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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