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algoyandreina1236-web

Meta Ads MCP

update_ad

Change an ad's name, status, bid amount, tracking specs, or creative by supplying its ID and the updated fields.

Instructions

Update an ad with new settings.

Args: ad_id: Meta Ads ad ID name: New ad name status: Update ad status (ACTIVE, PAUSED, etc.) bid_amount: Bid amount in account currency (in cents for USD) tracking_specs: Optional tracking specifications (e.g., for pixel events). creative_id: ID of the creative to associate with this ad (changes the ad's image/content) access_token: Meta API access token (optional - will use cached token if not provided)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
ad_idYes
statusNo
bid_amountNo
creative_idNo
access_tokenNo
tracking_specsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It does add useful context: access_token is optional and 'will use cached token if not provided,' and creative_id 'changes the ad's image/content.' However, it does not disclose whether unspecified fields are reset, rate limits, or other side effects, leaving some ambiguity 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 efficiently structured with a purpose line followed by a compact Args list. Each parameter gets a single line with no wasted words, making it easy to parse.

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?

Given the tool has 7 parameters and no annotations, the description covers all parameters and includes some behavioral notes. The presence of an output schema reduces the need to describe return values. However, it lacks discussion of partial vs. full update behavior or error conditions, which is a notable gap for a mutation tool.

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

Parameters4/5

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

Schema coverage is 0%, so the description fully compensates by explaining every parameter. It adds crucial semantics like bid_amount being 'in cents for USD' and tracking_specs being 'optional tracking specifications (e.g., for pixel events).' This provides meaning beyond the bare schema.

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 opens with 'Update an ad with new settings', a specific verb+resource that clearly identifies the tool's function. It distinguishes from sibling tools like update_campaign and update_adset by focusing on 'ad'.

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 description provides no guidance on when to use this tool versus alternatives like create_ad or update_ad_creative. It does not mention any exclusions or prerequisites, leaving the agent to infer usage from the name alone.

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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