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isiahw1

mcp-server-bing-webmaster

fetch_url

Request Bing to crawl a specific URL for indexing in search results. Submit URLs to ensure they appear in Bing search.

Instructions

Request Bing to fetch/crawl a specific URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYes
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The fetch_url tool handler, registered via @mcp.tool decorator which also defines the input schema using Annotated types. It submits a fetch request to the Bing API.
    @mcp.tool(name="fetch_url", description="Request Bing to fetch/crawl a specific URL.")
    async def fetch_url(
        site_url: Annotated[str, "The URL of the site"],
        url: Annotated[str, "The specific URL to fetch"],
    ) -> Dict[str, str]:
        """
        Request Bing to fetch/crawl a specific URL.
    
        Args:
            site_url: The URL of the site
            url: The specific URL to fetch
    
        Returns:
            Success message
        """
        async with api:
            await api._make_request("FetchUrl", "POST", {"siteUrl": site_url, "url": url})
            return {"message": f"Fetch request for {url} submitted successfully"}
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'fetch/crawl' implies a read operation that might trigger external activity, the description doesn't clarify whether this is synchronous/asynchronous, whether it requires specific permissions, what rate limits apply, or what happens if the URL is already crawled. This leaves significant behavioral gaps for a tool that interacts with Bing's crawling system.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a tool with a straightforward purpose, though the brevity contributes to gaps in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there's an output schema (which reduces the need to describe return values) but no annotations and poor parameter documentation, the description is minimally adequate. It states the basic purpose but lacks crucial context about when to use it, parameter meanings, and behavioral characteristics that would be needed for confident tool selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the tool description provides no information about what the two required parameters ('site_url' and 'url') mean or how they differ. The description mentions 'a specific URL' but doesn't explain why both parameters are needed or their relationship, leaving the agent to guess about parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Request Bing to fetch/crawl') and resource ('a specific URL'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'submit_url' or 'get_fetched_url_details', which reduces its score from a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 like 'submit_url' or 'get_fetched_url_details'. There's no mention of prerequisites, timing considerations, or what distinguishes this fetch/crawl operation from other URL-related operations in the sibling tool list.

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

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