analyze_single_ad

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

No annotations are provided, so the description carries the full burden. It mentions the tool performs AI analysis and returns specific outputs, but lacks critical behavioral details such as whether it's read-only or mutative, permission requirements, rate limits, or error handling. For a tool with 4 required parameters and no annotation coverage, this is a significant gap.

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 brief and front-loaded with the core purpose in the first sentence, followed by a technical note. It avoids redundancy, but the second sentence could be integrated more smoothly. Overall, it's efficient with minimal waste.

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 the complexity (4 required parameters, no annotations) and the presence of an output schema (which handles return values), the description is incomplete. It covers the basic action and output types but misses parameter explanations and behavioral context. It's minimally adequate but has clear gaps for a tool with this level of complexity.

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?

Schema description coverage is 0%, so the schema provides no parameter details. The description adds minimal value by implying date parameters ('Dates in YYYY-MM-DD format'), but doesn't explain the semantics of 'ad_id', 'account_id', or the purpose of the date range. This fails to compensate for the low coverage, leaving most parameters undocumented.

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 action ('Run AI analysis') and resource ('on a single ad'), and specifies the output ('detailed analysis, performance score, and recommendations'), which distinguishes it from siblings like 'analyze_account_ads' or 'analyze_campaign_ads' that handle multiple ads. However, it doesn't explicitly differentiate from all siblings, such as 'get_account_analysis', which might overlap in purpose.

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 no guidance on when to use this tool versus alternatives like 'analyze_account_ads' or 'get_account_analysis', nor does it mention prerequisites or exclusions. The date format note is a technical detail, not usage context, leaving the agent with no help in selecting among similar tools.

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