Skip to main content
Glama
isiahw1

mcp-server-bing-webmaster

get_query_stats

Retrieve detailed traffic statistics for top search queries from Bing Webmaster Tools to analyze website performance and optimize content strategy.

Instructions

Get detailed traffic statistics for top queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
site_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The main handler function implementing the logic for the 'get_query_stats' tool. It fetches query statistics from the Bing Webmaster Tools API for a given site and processes the response.
    async def get_query_stats(
        site_url: Annotated[str, "The URL of the site"]
    ) -> List[Dict[str, Any]]:
        """
        Get detailed traffic statistics for top queries.
    
        Args:
            site_url: The URL of the site
    
        Returns:
            List of query statistics with clicks, impressions, CTR, and position
        """
        async with api:
            stats = await api._make_request(f"GetQueryStats?siteUrl={site_url}")
            return api._ensure_type_field(stats, "QueryStats")
  • The @mcp.tool decorator that registers the 'get_query_stats' tool with the MCP server, providing the tool name and description.
    @mcp.tool(
        name="get_query_stats",
        description="Get detailed traffic statistics for top queries.",
    )
  • Core helper method in BingWebmasterAPI class used by get_query_stats to make the actual API call to 'GetQueryStats' endpoint.
    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
  • Helper method called by the handler to add MCP-compatible __type fields to the API response data.
    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
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 'detailed traffic statistics' but doesn't specify what 'detailed' entails, the format of the output, whether it's read-only or has side effects, or any rate limits or permissions required. This leaves significant gaps in understanding the tool's behavior.

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 without any fluff or redundancy. It's appropriately sized and front-loaded, making it easy to parse quickly.

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 an output schema exists, the description doesn't need to explain return values, which helps. However, with no annotations, 0% schema coverage, and one parameter, the description is too sparse—it doesn't clarify parameter usage or behavioral traits, making it incomplete for effective tool 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?

Schema description coverage is 0%, so the schema provides no parameter details. The description adds no information about the 'site_url' parameter, such as its format, examples, or how it relates to 'top queries'. With one undocumented parameter, the description fails to compensate for the schema's lack of coverage.

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 ('Get') and resource ('detailed traffic statistics for top queries'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_query_traffic_stats' or 'get_query_page_stats', which appear similar, so it doesn't fully distinguish itself from alternatives.

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 such as 'get_query_traffic_stats' or 'get_page_query_stats'. It lacks any context about prerequisites, timing, or exclusions, leaving the agent with no usage direction beyond the basic purpose.

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