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AdsAgent — Google Ads MCP

google_ads_product_card_save

Destructive

Save AdsAgent-owned product-card metadata, replacing any existing card with the same product_key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
merge_keysNo
descriptionNo
product_keyYes
display_nameYes
funnel_eventsNo
decision_rulesNo
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. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the write/destructive nature is known. The description adds genuine value by stating it replaces the existing card with the same product_key (an upsert-clobber), but omits whether unspecified fields are wiped, auth requirements, and the merge_keys behavior implied by 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.

Conciseness4/5

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

A single tightly-worded sentence with the replacement constraint front-loaded and no filler. Appropriately sized, though it is arguably too terse given the 7 undocumented parameters it must compensate for.

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 7-parameter destructive mutation with no output schema and 0% schema description coverage, the one-sentence description is not complete enough. It lacks field semantics, merge/merge_keys behavior, and required-field guidance needed to invoke the tool correctly.

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% across 7 parameters, so the description must carry the burden and largely does not. Only product_key is indirectly referenced; display_name, merge_keys, funnel_events, decision_rules, and connection_context are undocumented anywhere, leaving an agent unable to populate the required display_name meaningfully.

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?

Clear verb+resource: 'Save AdsAgent-owned product-card metadata', specifying it operates on AdsAgent-owned cards. It even discloses replacement semantics ('replacing any existing card with the same product_key'). However, it does not differentiate against the sibling google_ads_product_card_update, so an agent cannot tell save-vs-update apart from the text.

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?

No when-to-use guidance is given. With siblings product_card_update, product_card_delete, and product_cards_list present, the description never states when save is preferred over update or how they differ. The replacement clause is a behavioral note, not usage routing.

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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