Skip to main content
Glama
isiahw1

mcp-server-bing-webmaster

get_rank_and_traffic_stats

Retrieve website ranking and traffic data from Bing Webmaster Tools to analyze performance and identify optimization opportunities.

Instructions

Get overall ranking and traffic statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The tool handler function get_rank_and_traffic_stats, decorated with @mcp.tool for registration. It takes a site_url, makes an API request to GetRankAndTrafficStats endpoint via the BingWebmasterAPI client, and returns the stats with type field ensured for MCP compatibility.
    @mcp.tool(
        name="get_rank_and_traffic_stats",
        description="Get overall ranking and traffic statistics.",
    )
    async def get_rank_and_traffic_stats(
        site_url: Annotated[str, "The URL of the site"]
    ) -> Dict[str, Any]:
        """
        Get overall ranking and traffic statistics.
    
        Args:
            site_url: The URL of the site
    
        Returns:
            Overall site statistics
        """
        async with api:
            stats = await api._make_request(f"GetRankAndTrafficStats?siteUrl={site_url}")
            return api._ensure_type_field(stats, "RankAndTrafficStats")
  • Helper method _ensure_type_field used in the tool to add __type metadata to API responses for MCP compatibility.
    def _ensure_type_field(self, data: Any, type_name: str) -> Any:
        """Ensure __type field is present for MCP compatibility."""
        if isinstance(data, list):
            for item in data:
                if isinstance(item, dict) and "__type" not in item:
                    item["__type"] = f"{type_name}:#Microsoft.Bing.Webmaster.Api"
        elif isinstance(data, dict) and "__type" not in data:
            data["__type"] = f"{type_name}:#Microsoft.Bing.Webmaster.Api"
        return data
  • Core helper method _make_request in BingWebmasterAPI class that performs HTTP requests to Bing Webmaster Tools API, handles OData responses, and is called by the tool handler.
    async def _make_request(
        self,
        endpoint: str,
        method: str = "GET",
        json_data: Optional[Dict[str, Any]] = None,
        params: Optional[Dict[str, Any]] = None,
    ) -> Any:
        """Make a request to the Bing API and handle OData responses."""
        if not self.client:
            raise RuntimeError(
                "API client not initialized. Use 'async with api:' context manager."
            )
    
        headers = {"Content-Type": "application/json; charset=utf-8"}
    
        # Build URL with API key
        if "?" in endpoint:
            url = f"{self.base_url}/{endpoint}&apikey={self.api_key}"
        else:
            url = f"{self.base_url}/{endpoint}?apikey={self.api_key}"
    
        # Add additional parameters if provided
        if params:
            for key, value in params.items():
                url += f"&{key}={value}"
    
        try:
            if method == "GET":
                response = await self.client.get(url, headers=headers)
            else:
                response = await self.client.request(
                    method, url, headers=headers, json=json_data
                )
    
            if response.status_code != 200:
                error_text = response.text
                logger.error(f"API error {response.status_code}: {error_text}")
                raise Exception(f"API error {response.status_code}: {error_text}")
    
            data = response.json()
    
            # Handle OData response format
            if "d" in data:
                return data["d"]
            return data
    
        except httpx.TimeoutException:
            logger.error(f"Request timeout for {endpoint}")
            raise Exception("Request timed out")
        except Exception as e:
            logger.error(f"Request failed: {str(e)}")
            raise
Behavior2/5

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 retrieving statistics but doesn't specify whether this is a read-only operation, requires authentication, has rate limits, or details the output format. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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

Conciseness4/5

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

The description is a single, efficient sentence with no wasted words, making it easy to parse. However, it lacks front-loading of critical details like differentiation from siblings or parameter context, slightly reducing its effectiveness despite brevity.

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 the tool's complexity (1 parameter, no annotations, but with an output schema), the description is minimally adequate. The output schema likely covers return values, reducing the need for description detail, but the lack of parameter semantics and behavioral context leaves gaps, making it just sufficient for basic understanding.

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 1 parameter with 0% description coverage, and the tool description adds no information about the 'site_url' parameter. It doesn't explain what the parameter represents, expected format, or constraints, failing to compensate for the schema's lack of documentation.

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

Purpose3/5

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

The description states the tool's purpose as retrieving 'overall ranking and traffic statistics', which is clear but vague. It specifies the verb 'Get' and resource 'ranking and traffic statistics', but doesn't distinguish this from similar sibling tools like 'get_url_traffic_info' or 'get_query_traffic_stats', leaving ambiguity about what makes this tool unique.

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?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools related to traffic and statistics (e.g., 'get_url_traffic_info', 'get_query_traffic_stats'), the description lacks context on appropriate use cases, prerequisites, or exclusions, offering minimal help for selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/isiahw1/mcp-server-bing-webmaster'

If you have feedback or need assistance with the MCP directory API, please join our Discord server