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MoonEyes

google-ecommerce-mcp

Plan a Meta ad

meta_plan_create_ad
Read-only

Plan a paused Meta ad from an existing creative and ad set in a client's account, then validate it as a dry run before applying changes.

Instructions

PLAN (nothing is written): create a Meta ad, always PAUSED, from an existing creative, in an ad set of the client's account (both checked). Dry-run with validate_only; apply with meta_apply. No automatic rollback.

Input Schema

NameRequiredDescriptionDefault
nameYesName of the new entity (plain text)
adset_idYesNumeric id of the parent ad set (same ad account)
client_idNoClient id from clients_list; empty uses the only client
creative_idYesNumeric id of an existing ad creative of the account

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly=true and destructive=false, so the safety bar is lower. The description adds real value beyond them: the ad is 'always PAUSED', the creative must be existing and the ad set/client are 'both checked', and there is 'No automatic rollback'. That last point is important operational context an agent cannot get 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.

Conciseness5/5

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

One tightly packed sentence group with the critical constraint ('nothing is written') front-loaded first. Every clause – paused state, creative source, dry-run/apply routing, no rollback – earns its place with zero filler.

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

Completeness4/5

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

No output schema exists, but the description covers the mutation semantics, the validate_only safety gate, the apply follow-up, and the rollback limitation. For a 4-param planner this is nearly complete; only the plan's return/handle (e.g. how to reference it in meta_apply) is left implicit.

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?

Schema description coverage is 100%, so the schema documents all four parameters (name, adset_id, client_id, creative_id) with formats and defaults. The description restates the parent ad-set/creative relationships but adds no syntax or format detail beyond the schema. Baseline 3 is correct.

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 and resource ('create a Meta ad') and immediately scopes it with 'PLAN (nothing is written)', which distinguishes it from the sibling meta_plan_create_campaign and meta_plan_create_adset. An agent can tell exactly what this does and that it produces a plan rather than a live entity.

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?

Clearly routes the agent through the workflow: 'Dry-run with validate_only; apply with meta_apply.' This names the alternative (apply) and the condition that selects it. It doesn't explicitly contrast against sibling planners, but the plan/apply pattern is unambiguous.

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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