analyze_creative

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 describes what the tool does (returns classification) but does not disclose behavioral traits such as being read-only, idempotent, or requiring specific permissions. It assumes safe operation but lacks explicit safety guarantees.

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 two sentences with no redundancy. The first sentence clearly conveys the tool's purpose and output scope; the second specifies input options. Information density is high, and the most critical details are front-loaded.

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 9 parameters, 100% schema coverage, and no output schema, the description is moderately complete. It lists many output dimensions but does not specify the structure or format of the returned classification. The 'naming conventions' aspect is mentioned but not detailed. More explicit output guidance would improve completeness.

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 100%, so the description's added value over the schema is limited. The description reiterates the input options (file_path, url, html_content) already present in the schema, but does not provide additional context or constraints beyond what the schema already offers.

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 analyzes ad creative and returns structured classification across 21 specific dimensions, plus generates naming conventions. It lists input options (file_path, url, html_content) and distinguishes itself from sibling tools like analyze_gaps (which likely focuses on gap analysis) and predict_creative (for prediction).

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 does not provide explicit guidance on when to use this tool versus alternatives. It implies broad applicability ('analyze any ad creative') but offers no when-not-to-use scenarios or comparisons with siblings such as analyze_gaps, predict_creative, or get_analysis.

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