pinkpixel-dev-web-scout-mcp

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

With no annotations provided, the description carries the full disclosure burden. It mentions the return format ('well-structured list of findings') and the default value for maxResults (10), but omits other behavioral traits like rate limits, authentication requirements, caching behavior, or specific error conditions.

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 consists of two efficient sentences with zero waste. The first establishes purpose and return value; the second covers both parameters including defaults. Information is front-loaded and appropriately sized for a two-parameter tool.

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 simple two-parameter search tool without output schema, the description adequately covers the operation, parameter semantics, and return type. It could be improved by explicitly contrasting with UrlContentExtractor or describing the result structure in more detail, but it meets the minimum requirements for agent selection.

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?

Although schema coverage is 100%, the description adds valuable semantic context by clarifying that the query parameter accepts 'keywords, question, or topic' (helping the agent understand input flexibility). It also reinforces the default value for maxResults, adding confidence to the schema definition.

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 explicitly states the tool 'Initiates a web search query using the DuckDuckGo search engine' with specific verb (initiates/returns), resource (web search), and output (well-structured list of findings). It clearly distinguishes from sibling UrlContentExtractor by focusing on search queries rather than URL content extraction.

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 explains what inputs to provide (keywords, questions, or topics) and mentions the maxResults default behavior. However, it lacks explicit guidance on when to use this search tool versus the UrlContentExtractor sibling, only implying usage through the search functionality description.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails to specify the output format (HTML, markdown, plain text), error handling behavior for invalid URLs, or network safety characteristics. It only minimally describes the fetch operation without detailing idempotency, rate limits, or destructive potential.

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 consists of two front-loaded sentences that efficiently communicate the core function and input requirements. While slightly repetitive in restating schema-defined parameter mechanics, it avoids unnecessary fluff and maintains appropriate information density for a single-parameter tool.

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 single-parameter simplicity and lack of output schema, the description adequately covers the basic invocation pattern. However, it leaves significant gaps regarding the extraction methodology and output structure that would be necessary for an agent to predict tool behavior accurately without trial and error.

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?

While the schema has 100% coverage and documents the polymorphic URL parameter thoroughly, the description adds useful semantic context by explaining that the array format enables fetching from 'multiple pages at once' and clarifies that the string input uses the 'url parameter.' This bridges the gap between schema structure and user intent effectively.

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 and extracts content from a given webpage URL,' providing specific verbs and the target resource. While it implies differentiation from the DuckDuckGoWebSearch sibling by focusing on direct URL input rather than querying, it does not explicitly contrast the two tools or clarify what format the extracted content takes.

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 explains how to structure the input (string vs. array) but does not provide explicit guidance on when to use this tool versus the DuckDuckGoWebSearch sibling. It implies usage scenarios through the parameter examples but lacks clear conditional logic or explicit alternative recommendations.

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