meta_ads_analysis_suggest_creative

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

No annotations provided, so the description carries full burden. It discloses read-only behavior, returns a ranked list of suggestions, and gives example outputs. It does not detail permissions or side effects, but the read-only nature is well-covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

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

The description is four sentences, each adding value: purpose, examples, read-only nature, and next steps. It is front-loaded with the primary action and avoids fluff.

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

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

Given no output schema and no annotations, the description covers input requirements, output format (ranked list with examples), behavioral constraints (read-only), and post-execution workflow. It could mention error handling or data freshness, but is sufficiently complete for an analysis tool.

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

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

Input schema coverage is 100%, so the schema already documents all parameters. The description adds no extra parameter details beyond the schema; baseline 3 is appropriate.

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

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

The description clearly states the tool generates concrete creative-improvement suggestions for Meta Ads campaigns based on recent ad performance, with specific examples. It distinguishes itself from sibling tools like meta_ads_creatives_create by explicitly noting it does not create creatives.

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

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

The description provides explicit guidance on when to use (improving creative performance) and what not to use (does not create creatives). It also instructs users to follow up with meta_ads_creatives_create* after operator review, offering a clear workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.