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AdsAgent — Google Ads MCP

google_ads_benchmark_products

Read-only

Read bounded native benchmark_products 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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so "No writes or access grants" largely restates structured data. What the description does add is a real failure mode: restricted services refuse without fresh server-verified access. It still does not explain what "bounded" limits (result caps, time windows) or what a refusal looks like.

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, front-loaded sentences with no filler; the read scope comes first and the access caveat second. It is efficient, though terse to the point that key operational detail (the body payload) is simply absent rather than trimmed.

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 annotations cover the safety profile. But for a tool with a required empty `body` object and a nested-object parameter, the description leaves an agent unclear on how to construct a valid call, which is a meaningful completeness gap.

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 coverage is only 33%: customer_id is documented, but the required `body` object has no properties and no explanation of what it should contain, and connection_context's format is undocumented. The description supplies no parameter meaning at all, so it fails to compensate for the coverage gap on the two remaining parameters.

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?

"Read bounded native benchmark_products insight" gives a specific verb and a specific resource, and the resource name distinguishes it from sibling benchmark tools such as google_ads_benchmark_metrics and google_ads_reach_products. The qualifier "bounded" is undefined jargon, so the scope is not fully pinned down, and the description never says benchmark of what (products/verticals).

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 sentence about restricted services requiring fresh server-verified access is an implicit precondition for calling the tool, which is genuinely useful. However, there is no explicit "use this when…" guidance and no reference to the sibling benchmark endpoints (metrics, sources, dates, locations) that an agent must choose between.

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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