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Dweeb1578

Marketing Analytics MCP Server

by Dweeb1578

bing_compare_periods

Compare Bing performance metrics between two date periods by query or page. Identify changes in search queries or page performance to analyze trends and shifts over time.

Instructions

Compare two date periods in Bing side-by-side.

Args: period1_start: First period start YYYY-MM-DD period1_end: First period end YYYY-MM-DD period2_start: Second period start YYYY-MM-DD period2_end: Second period end YYYY-MM-DD dimension: "query" or "page" (default: "query") limit: Max rows in diff (default: 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
dimensionNoquery
period1_endYes
period2_endYes
period1_startYes
period2_startYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full behavioral disclosure burden. It only lists parameters and defaults, omitting details such as error handling, data availability constraints, or what the output contains. This leaves significant ambiguity for an agent.

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 extremely concise, with a one-sentence purpose followed by a structured parameter list. Every line adds value, and it is front-loaded with the core action. No waste.

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 has 6 parameters and an output schema exists, the description is moderately complete for invocation. However, it lacks any explanation of the output or behavior beyond parameters, leaving gaps about what the comparison returns.

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

Parameters4/5

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

The input schema has 0% description coverage, so the parameter descriptions in the docstring (e.g., 'First period start YYYY-MM-DD') add necessary meaning. All six parameters are explained, including defaults for 'dimension' and 'limit'. This compensates well for the schema's lack of descriptions.

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 it compares two date periods in Bing side-by-side. It uses specific verb+resource and distinguishes from siblings like gsc_compare_periods by the 'Bing' platform. However, it could be more specific about what metrics are compared.

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 gives no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. It simply states the function without context.

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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