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anegash

Google Ads MCP Server

by anegash

dismiss_recommendation

Dismiss unwanted Google Ads recommendations to keep your account insights relevant. Provide customer ID and recommendation ID to remove specific suggestions.

Instructions

Dismiss a Google recommendation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerIdYesGoogle Ads customer ID
recommendationIdYesRecommendation ID
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Dismiss' implies a state-changing action, but it does not disclose side effects, reversibility, permission requirements, or what happens to the recommendation afterward. This is a significant gap for a mutation tool.

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?

The description is a single, front-loaded sentence with no filler or redundant information. It conveys the core purpose efficiently, making it concise and well-structured.

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?

For a simple tool with two clearly documented parameters, the description is adequate but not complete. It lacks details about the expected response (e.g., success/failure indicators) and any post-dismissal effects. Since there are no annotations and no output schema, more context would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides descriptions for both parameters (customerId and recommendationId), giving 100% schema coverage. The description itself does not add extra parameter details, but the schema is sufficient, so the baseline of 3 applies.

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?

The description 'Dismiss a Google recommendation' uses a specific verb ('dismiss') and a clear resource ('recommendation'), making the tool's purpose immediately obvious. It distinguishes itself from sibling tools like 'apply_recommendation' and 'get_recommendations' by implying the action of rejecting or discarding a recommendation.

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 description implies usage by contrasting with sibling tools (apply vs. dismiss), but it does not explicitly state when to use this tool over alternatives. There is no mention of prerequisites, when dismissing is appropriate, or that it differs from simply ignoring a recommendation.

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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