generate_web_scraping_blueprint

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

Since no annotations are provided, the description carries the full burden of behavioral disclosure. It does reveal some behavior: the tool generates scripts that employ stealth tactics (user-agent spoofing, headless browser evasion) and produce structured JSON output. However, it does not disclose other behavioral aspects such as whether the tool actually executes the scraping, any rate-limiting or anti-detection caveats, or what the generated script does beyond the stated techniques. This is a moderate level of transparency but leaves significant gaps.

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 a single, dense sentence of about 25 words. It front-loads the primary action ('Generates production stealth web scraping scripts') and immediately follows with specific technical details. There is no filler or redundant wording; every phrase adds value, making it highly efficient and appropriately sized.

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?

For a tool with only two parameters and no output schema, the description gives a fair overview of what it accomplishes (generating scraping scripts) but lacks details about the output format (e.g., whether the script is returned as text, a file, or a structured object) and potential limitations (e.g., handling of authentication, captchas, or rate limits). Since there is no output schema, the description should offer more context about what the agent can expect as a result, but it falls short of being complete.

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%, with both target_url and extraction_type having descriptions. The tool description adds no parameter-specific information, so it relies entirely on the schema. While it does give context about the overall approach (e.g., Playwright/Puppeteer), it does not clarify the meaning of the extraction_type enum values (e.g., when to choose 'static_cheerio' vs 'dynamic_spa_playwright'). The description does not exceed the baseline expectation for a fully documented schema, hence a 3.

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 starts with the verb 'Generates' and the specific resource 'production stealth web scraping scripts', then details the technical approach (Playwright/Puppeteer, user-agent spoofing, headless browser evasion, structured JSON parsing). This clearly distinguishes the tool from sibling blueprint generators like generate_fintech_trading_blueprint, which focus on other domains. The 'stealth' keyword and library names leave no ambiguity about what this tool produces.

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 other blueprint generators, nor does it mention conditions or scenarios where it is appropriate or inappropriate. It does not reference sibling tools or explain how the extraction_type choices map to specific use cases. The only implied context is that it is for web scraping, but no explicit usage rules or alternatives are given.

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