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Google Ads: Shopping products that cannot show

shopping_product_issues
Read-onlyIdempotent

List the Merchant Center products that cannot show in Shopping and Performance Max ads: counts by status, the issues behind them by error code and attribute with Google's description, fix text and help link, sample items, and their clicks and cost over 30 days. campaign_id (digits) narrows it. Read-only.

Tools revision: d80f65c0.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "customer_id": "<customer_id>"
    },
    "name": "shopping_product_issues"
  }
}

Input Schema

NameRequiredDescriptionDefault
detailNosummary
renderNoboth
max_itemsNo
campaign_idNo
customer_idYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the closing 'Read-only' adds nothing. What does add value is the disclosed metric window — clicks and cost are over 30 days — plus the enumeration of what the payload contains (status counts, error code/attribute, Google fix text, help link, sample items). That is real behavioral context an agent cannot infer from the schema.

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?

The scope is front-loaded, which is good, but the core is a single run-on clause enumerating six output components that is hard to parse and partly duplicates the existing output schema. The trailing 'Tools revision: d80f65c0.' is pure metadata noise that earns no place in a tool description.

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?

With an output schema present, the long inventory of return contents is largely redundant, while the three undocumented behavioral parameters (detail, render, max_items) go unexplained. For a read-only diagnostics tool this is adequate to call correctly with defaults, but not complete for an agent that needs to tune verbosity or scope.

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 0%, so the description carries the full burden for 5 parameters — yet it only explains campaign_id ('digits', narrows results). The meaning of detail (summary vs full), render (json/markdown/both), and max_items is left entirely to bare titles and defaults, which is a meaningful gap for a tool whose output volume is governed by those flags.

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

Purpose5/5

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

States a specific verb ('List') and a precisely scoped resource: Merchant Center products that cannot show in Shopping and Performance Max ads. No sibling tool covers disapproved-product diagnostics, so it is trivially distinguishable from the create_*/update_*/audit_* family.

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

Usage Guidelines4/5

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

The use case (diagnosing why products are not serving) is clear from the scope statement, and the description tells the agent that campaign_id narrows the result set — useful for choosing between an account-wide vs. campaign-scoped run. It does not explicitly name a situation to prefer a different sibling (e.g. full_audit, analyze_waste), so it stops short of true when-not guidance.

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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