analyze_competitor_ad

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

With no annotations, the description carries the full burden. It does disclose a key behavior: 'Falls back to copy heuristics when no vision backend available', which is valuable. However, it does not mention whether the operation is read-only, potential side effects, or the return format, leaving some ambiguity for an agent.

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 three concise sentences with no filler. The primary purpose is front-loaded in the first sentence, the fallback behavior in the second, and the derive usage in the third. Every sentence adds distinct information.

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 five optional parameters, no annotations, and no output schema, the description should provide more operational detail. It explains the core analysis and the fallback, but does not describe the expected output shape (raw breakdown vs. counter-brief), how to use 'batch' vs. single-input fields, or any prerequisites. The agent is left to infer much of the calling convention.

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 coverage is only 40% (batch and derive have descriptions). The description adds meaning to 'image_path_or_url' by stating it can be a 'URL or local path' and clarifies 'derive' as aggregation, but it does not explain 'caption' or 'transcript' beyond their existence, nor the structure of the 'batch' array objects beyond a terse schema hint. It partially compensates for the coverage gap but not fully.

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 a specific verb ('Deconstruct'), resource ('competitor ad'), and method ('via VLM'), and enumerates the analytical dimensions (hook, pacing, psychological triggers, CTA, counter-angles). It distinguishes itself from generic 'analyze_competitor' by focusing on ad deconstruction, but does not explicitly differentiate from sibling 'breakdown_ad', so it loses the top score.

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?

There is no explicit guidance on when to use this tool versus alternatives like 'analyze_competitor' or 'breakdown_ad'. The only usage hint is the conditional 'Use derive=true to aggregate multiple ads into a counter-brief for generate_creatives', which addresses a specific flag but not overall tool selection or exclusions.

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