MCP Web Scrape

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only analysis, if it requires authentication, rate limits, what the output format might be, or if it performs any destructive actions. 'Analyze' implies a read operation, but specifics are missing.

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 with no wasted words. However, it's front-loaded with minimal detail, which could be seen as under-specified rather than optimally concise for a tool with 3 parameters and no annotations.

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 for a tool that analyzes traffic patterns. It doesn't explain what 'analyze' entails, what kind of results to expect, or how it differs from sibling tools. For a 3-parameter tool with behavioral uncertainty, more context is needed.

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 parameters are well-documented in the schema itself. The description adds no additional meaning about parameters beyond implying 'traffic patterns' relate to the URL and metrics, which is already clear from schema descriptions. Baseline 3 is appropriate as the 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 'Analyze traffic patterns and user behavior indicators' states a general purpose but lacks specificity about what resource it analyzes (URLs) and how it distinguishes from siblings like 'analyze_competitors' or 'analyze_performance'. It mentions 'traffic patterns' but doesn't clarify if this is web analytics, network traffic, or something else.

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?

No guidance is provided on when to use this tool versus alternatives like 'analyze_performance' or 'monitor_changes'. The description doesn't mention prerequisites, exclusions, or comparative contexts, leaving the agent to guess based on tool names alone.

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