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xpay✦ Finance Collection

getIndustryPerformanceSummary

The Industry Performance Summary API provides an overview of how various industries are performing financially. By analyzing the value of industries over a specific period, this API helps investors and analysts understand the health of entire sectors and make informed decisions about sector-based investments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear of filing
quarterYesQuarter of filing (1-4)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description fails to disclose behavioral details such as whether this is a read-only operation, what data source or methodology is used, or what the response format contains. It only vaguely mentions 'analyzing the value of industries,' which is insufficient for an agent to anticipate side effects or output structure.

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 only two sentences and is front-loaded with the core purpose. The second sentence adds some contextual color but is largely redundant with the first, making it acceptable but not exemplary.

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?

For a tool with no output schema, no annotations, and many sibling tools, the description is too thin. It doesn't clarify what data is returned (e.g., list of industries, performance percentages), the time period semantics beyond year/quarter, or how this differs from the snapshot and historical variants.

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

Parameters3/5

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

Both year and quarter parameters are fully described in the schema (100% coverage), so the description adds no additional semantic detail. Its mention of 'a specific period' loosely matches the parameters but doesn't explain how they affect the summary.

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 that the tool provides an overview of financial performance across industries, which matches the 'Summary' in its name. However, it doesn't distinguish this tool from closely related siblings like getIndustryPerformanceSnapshot or getHistoricalIndustryPerformance, so it falls short of full differentiation.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description identifies the general use case (understanding sector health for investment decisions) but gives no explicit guidance on when to choose this tool over alternatives. It lacks any exclusions or comparative notes, leaving selection ambiguous among the many industry/sector tools.

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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