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agalliani

mcp-server-bwt

by agalliani

get_query_page_detail_stats

Retrieve detailed search performance statistics for a specific query and page URL to analyze clicks, impressions, and rankings.

Instructions

Get detailed statistics for a specific query and page combination.

Args: site_url: The URL of the site query: The search query page: The specific page URL

Returns: List[DetailedQueryStats]: List of detailed statistics

Raises: BingWebmasterError: If statistics cannot be retrieved

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes
queryYes
site_urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
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. The description does disclose it raises BingWebmasterError and returns a list, but it does not explain any side effects, access requirements, rate limits, or whether the data is real-time or rolled-up. This is thin for a read-only statistics tool with zero annotations.

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

Conciseness3/5

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

The purpose sentence is front-loaded, and the Args/Returns/Raises sections are short and clean. But those sections are standard boilerplate that mostly repeat the schema and output schema, carrying little additional information while occupying most of the description.

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

Completeness2/5

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

The having an output schema covers the return shape, but the surrounding context is inadequate. The tool's purpose is ambiguous relative to a large sibling cluster, and the parameters are not explained. An agent cannot confidently select or successfully call this tool without seeking additional information elsewhere.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate. The Args section just repeats the parameter names with no added meaning: 'site_url: The URL of the site' is only a rewording of the name. No format, constraints, example, or relationship between the three required parameters is provided.

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 states a specific verb and resource: 'Get detailed statistics for a specific query and page combination.' This is clear on its surface. However, it does not distinguish itself from closely named siblings like get_query_page_stats, get_page_query_stats, or get_query_traffic_stats, so an agent cannot tell what makes these statistics 'detailed' or 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 given on when to use this tool versus the many similar sibling statistics tools. With at least seven sibling tools that appear to return query/page statistics, the absence of any scoping or alternative references leaves usage entirely to inference.

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