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AdsAgent — Google Ads MCP

google_ads_benchmark_metrics

Read-only

Read bounded native benchmark_metrics insight. Restricted services require fresh server-verified access and otherwise refuse. No writes or access grants.

Input Schema

NameRequiredDescriptionDefault
bodyYes
customer_idYes10-digit Google Ads customer id.
connection_contextNo

Output Schema

NameRequiredDescriptionDefault
okNo
codeNo
dataNo
kindNo
errorNo
needsNo
reasonNo
sourceNo
retryableNo
error_codeNo
request_idNo
api_versionNo
next_actionNo
observed_atNo
support_refNo
availabilityNo
invalid_fieldsNo
rejected_pathsNo
truncated_fieldsNo
origin_support_refNo
forecast_not_guaranteeNo
smart_campaign_create_supportedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "properties": {
      +    "api_version": {
      +      "type": "string"
      +    },
      +    "availability": {
      +      "type": "string"
      +    },
      +    "code": {
      +      "type": "string"
      +    },
      +    "data": {
      +      "additionalProperties": true,
      +      "properties": {},
      +      "type": "object"
      +    },
      +    "error": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "type": "string"
      +            },
      +            {
      +              "additionalProperties": true,
      +              "properties": {
      +                "code": {
      +                  "type": "string"
      +                },
      +                "details": {
      +                  "additionalProperties": true,
      +                  "properties": {},
      +                  "type": "object"
      +                },
      +                "message": {
      +                  "type": "string"
      +                },
      +                "retryable": {
      +                  "type": "boolean"
      +                },
      +                "support_ref": {
      +                  "type": "string"
      +                }
      +              },
      +              "type": "object"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "error_code": {
      +      "type": "string"
      +    },
      +    "forecast_not_guarantee": {
      +      "type": "boolean"
      +    },
      +    "invalid_fields": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "kind": {
      +      "type": "string"
      +    },
      +    "needs": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "next_action": {
      +      "anyOf": [
      +        {
      +          "anyOf": [
      +            {
      +              "type": "string"
      +            },
      +            {
      +              "additionalProperties": true,
      +              "properties": {},
      +              "type": "object"
      +            }
      +          ]
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "observed_at": {
      +      "type": "string"
      +    },
      +    "ok": {
      +      "type": "boolean"
      +    },
      +    "origin_support_ref": {
      +      "type": "string"
      +    },
      +    "reason": {
      +      "type": "string"
      +    },
      +    "rejected_paths": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "request_id": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "retryable": {
      +      "type": "boolean"
      +    },
      +    "smart_campaign_create_supported": {
      +      "anyOf": [
      +        {
      +          "type": "boolean"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "source": {
      +      "type": "string"
      +    },
      +    "support_ref": {
      +      "type": "string"
      +    },
      +    "truncated_fields": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "type": "object"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  3. Added

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so 'No writes or access grants' is partly redundant. The description nevertheless adds real behavioral value by disclosing that restricted services require fresh server-verified access and otherwise refuse, which is an auth/failure condition not present in the annotations.

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?

Three short sentences, front-loaded with the core action and with trivial filler. Slight jargon ('bounded native benchmark_metrics insight') costs a bit of clarity but no sentence is wasted.

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 values need not be described, and the auth prerequisite is covered. But with a complex nested body at 33% coverage and no sibling differentiation among the four benchmark tools, the definition is only minimally sufficient for correct invocation.

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 33% — only customer_id is documented — and the nested body object contains six required parameters (date_from, date_to, location_id, industry_vertical_id, product_codes, currency_code) that are unexplained in both schema and description. The description does not compensate for this gap with any parameter meaning or format guidance.

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 specific verb ('Read') and resource ('native benchmark_metrics insight') with a scoping qualifier ('bounded'). However, it does not distinguish this tool from the four sibling benchmark discovery tools (benchmark_dates, benchmark_locations, benchmark_products, benchmark_sources), leaving the agent to infer which one returns metrics versus reference data.

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?

The description implies a read-only insight retrieval and notes a prerequisite ('fresh server-verified access'), but gives no explicit when-to-use guidance or routing versus the sibling benchmark tools that supply location_id, industry_vertical_id, and product_codes inputs required by its body.

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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