google_ads_landing_page_analyze

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

Thoroughly describes side effects: HTTP GET with 15s timeout, 500KB cap, up to 5 redirects, specific User-Agent, and SSRF protection. Explains error handling by returning an error field instead of raising exceptions. No annotations exist, so the description fully covers behavior.

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 somewhat long but front-loaded with purpose and return values. Every sentence adds information: return fields, error handling, side effects, security, and usage guidance. Could be slightly more concise but remains highly efficient.

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 tool's complexity (HTTP fetch, multiple return fields, security constraints) and no output schema, the description fully covers inputs, outputs, error behavior, side effects, and alternatives. It is complete and self-contained.

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 already has 100% description coverage, so baseline is 3. The description adds value by explaining that customer_id is optional and falls back to credentials, and that it only scopes credential routing rather than affecting analysis. This nuance exceeds the schema alone.

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 fetches a landing page and extracts structured content for ad-copy alignment. It lists specific returned fields and distinguishes from sibling tools by naming alternatives such as search_console_url_inspection_inspect and google_ads_creative_research.

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?

Explicitly states to use for ad-copy vs. LP message-match and keyword-extraction workflows. Provides clear alternatives for other use cases: indexing/coverage view or batched research, which helps the agent avoid mis-selection.

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