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AdsAgent — Google Ads MCP

google_ads_query_preflight

Read-only

Check a bounded query against native field metadata without executing it. Local compatibility is not Google validateOnly.

Input Schema

NameRequiredDescriptionDefault
bodyYes
customer_idYes10-digit Google Ads customer id.
connection_contextNo

Output Schema

NameRequiredDescriptionDefault
okNo
codeNo
errorNo
limitNo
needsNo
queryNo
reasonNo
date_toNo
reasonsNo
date_fromNo
retryableNo
error_codeNo
request_idNo
api_versionNo
next_actionNo
observed_atNo
support_refNo
invalid_fieldsNo
rejected_pathsNo
validation_scopeNo
origin_support_refNo
google_validate_onlyNo
metadata_cache_max_age_secondsNo

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"
      +    },
      +    "code": {
      +      "type": "string"
      +    },
      +    "date_from": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "date_to": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "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"
      +    },
      +    "google_validate_only": {
      +      "type": "boolean"
      +    },
      +    "invalid_fields": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "limit": {
      +      "type": "integer"
      +    },
      +    "metadata_cache_max_age_seconds": {
      +      "type": "integer"
      +    },
      +    "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"
      +    },
      +    "query": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "reason": {
      +      "type": "string"
      +    },
      +    "reasons": {
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {},
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "rejected_paths": {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    "request_id": {
      +      "anyOf": [
      +        {
      +          "type": "string"
      +        },
      +        {
      +          "type": "null"
      +        }
      +      ]
      +    },
      +    "retryable": {
      +      "type": "boolean"
      +    },
      +    "support_ref": {
      +      "type": "string"
      +    },
      +    "validation_scope": {
      +      "type": "string"
      +    }
      +  },
      +  "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

A3.6/5.0
Behavior4/5

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

Annotations already establish readOnly/openWorld=false/no-destructive, so safety is covered. The description adds real value beyond them by disclosing a behavioral limitation: local compatibility checking is not equivalent to Google's validateOnly, so a pass does not guarantee server-side acceptance.

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?

Two sentences, nothing wasted, and the core action plus its non-execution guarantee are front-loaded ahead of the caveat.

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?

Output schema exists so return values need no explanation, and annotations cover the safety profile. What is thin is the scope of validation (which parts of the query are checked against metadata) and the meaning of the nested body parameters, though the extra limitation note offsets much of it.

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 described). The description's word 'bounded' hints at the limit/field-count caps but never explains the resource/fields semantics, date range narrowing, or what connection_context is for. With low coverage the description needed to compensate and does not.

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 (check) and object (a bounded query against native field metadata) plus the key negative qualifier that it does not execute the query. That separates it from execution siblings like google_ads_deep_analysis_query, though it never names those siblings or google_ads_field_metadata explicitly.

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 phrase 'without executing it' implies the preflight use case before running a real query, and the second sentence warns about trusting the result. But there is no explicit statement of when to prefer this over google_ads_field_metadata or the deep analysis tools, and no stated prerequisites.

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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