MCP Web Scrape

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions analysis and compliance checking but lacks details on permissions, rate limits, output format, or potential side effects (e.g., network requests, data processing). For a tool with no annotations, this is insufficient to inform safe and effective use.

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, efficient sentence: 'Analyze privacy policy content and compliance'. It's front-loaded with the core purpose, has zero waste, and is appropriately sized for the tool's complexity.

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 no annotations and no output schema, the description is incomplete. It doesn't explain what the analysis returns (e.g., compliance scores, issues found), behavioral traits, or error handling. For a tool with 3 parameters and potential regulatory implications, more context is needed to guide effective use.

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 schema fully documents the parameters (url, regulations, useCache). The description adds no additional semantic context beyond what's in the schema, such as explaining what 'compliance' entails or how analysis is performed. Baseline 3 is appropriate when schema does the heavy lifting.

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's purpose: 'Analyze privacy policy content and compliance'. It specifies the action ('analyze') and the target ('privacy policy content and compliance'), which distinguishes it from general content analysis tools. However, it doesn't explicitly differentiate from sibling tools like 'analyze_cookies' or 'detect_tracking' that might also relate to privacy.

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. It doesn't mention prerequisites (e.g., needing a valid URL), exclusions (e.g., not for non-policy pages), or comparisons to siblings like 'analyze_cookies' for cookie-specific checks. Usage is implied by the name but not explicitly stated.

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