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AdsAgent — Google Ads MCP

google_ads_benchmark_locations

Read-only

Read bounded native benchmark_locations 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

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so "No writes or access grants" is largely redundant. The description does add one piece of context beyond annotations: that restricted services require fresh server-verified access and will otherwise refuse, which hints at an auth failure mode. It says nothing about rate limits, response shape, or what "bounded" means.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the action front-loaded, so it is not bloated. But the compression comes at the cost of clarity — phrases like "bounded native" and "access grants" are cryptic rather than efficient, so the brevity is only partially earned.

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?

For a tool with a nested object parameter, an empty body schema, 33% schema coverage, and no output schema, the description is far too thin. It omits what the body should contain, what the response returns, and how this tool relates to its benchmark siblings.

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% (just customer_id), and the body parameter is an empty object with additionalProperties=false whose required fields or payload shape are entirely undocumented. The description provides no parameter information at all, so it fails to compensate for the low schema coverage.

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 gives a verb ("Read") and a resource ("benchmark_locations insight"), so the basic action is discernible. However, the qualifiers "bounded native" are opaque jargon, and nothing distinguishes this from the many sibling benchmark tools (benchmark_dates, benchmark_metrics, benchmark_products, benchmark_sources). An agent must fall back on the tool name alone to tell it apart.

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?

The only guidance offered is an access constraint ("Restricted services require fresh server-verified access and otherwise refuse"), which is a precondition, not a when-to-use. No alternative tool is named and no scenario or exclusion is described, so the agent gets no routing help.

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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