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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

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
customer_idYes10-digit Google Ads customer id.
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. Added

TDQS

C2.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds context beyond that: it discloses an authorization precondition (restricted services need fresh server-verified access and otherwise refuse) and reinforces scope ('No writes or access grants'). It stops short of explaining what 'bounded' means or what the refusal looks like, hence a 4 rather than a 5.

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 read purpose before the caveats, with no filler. It loses a point only because the opening clause 'bounded native benchmark_products insight' is compressed to the point of being cryptic rather than efficient.

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

Completeness2/5

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

With no output schema and no explanation of what the 'benchmark_products insight' actually contains, the description leaves the agent unable to anticipate the return shape or the semantics of the body argument. For a 3-parameter tool with a nested object and low schema coverage, more explanation is required than is present.

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 ('10-digit Google Ads customer id'), while body and connection_context carry no description. The description adds nothing about any parameter, so it does not compensate for the gap. Notably it never explains the body object at all, which appears to have no properties, leaving the agent unclear on what to send.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a verb ('Read') and a resource ('benchmark_products insight'), so the general intent is recoverable. But 'bounded native' is unexplained jargon, and the tool is not distinguished from its close siblings google_ads_benchmark_dates/locations/metrics/sources beyond the shared 'benchmark_products' label. An agent can guess the domain but not precisely what this returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to choose this tool over the four other google_ads_benchmark_* siblings, nor when-not to use it. The only conditional ('Restricted services require fresh server-verified access and otherwise refuse') is an auth precondition, not usage routing. No guidance is provided for the actual selection decision.

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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