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. While 'benchmark' implies a read-only analysis operation, the description doesn't specify whether this tool makes external API calls, has rate limits, requires authentication, what the output format looks like, or whether it's a computationally intensive operation. For a tool with no annotation coverage, this leaves significant behavioral questions unanswered.

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 that states the tool's core purpose without unnecessary words. It's appropriately sized for what it communicates and is front-loaded with the essential information. Every word earns its place in this concise formulation.

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 that this is a performance benchmarking tool with 3 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what 'industry standards' means, what specific metrics are benchmarked, how results are presented, or whether this involves external services. For a tool that likely produces comparative analysis results, more context about output format and behavioral characteristics would be helpful.

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?

The input schema has 100% description coverage, so all parameters are documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema descriptions. It mentions 'competitors' and 'industry standards' which align with the schema parameters, but provides no additional semantic context about parameter usage or relationships.

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: 'Benchmark website performance against competitors and industry standards'. It specifies the verb ('benchmark'), resource ('website performance'), and scope ('against competitors and industry standards'). However, it doesn't explicitly differentiate from sibling tools like 'analyze_performance' or 'analyze_page_speed', which appear related but have different scopes.

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. With multiple sibling tools like 'analyze_performance', 'analyze_page_speed', and 'analyze_competitors', there's no indication of how this benchmarking tool differs or when it should be preferred. The description lacks any 'when to use' or 'when not to use' context.

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