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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getFinancialScores

Read-onlyIdempotent

Retrieve a company's Altman Z-Score and Piotroski Score by stock symbol to assess financial health and stability.

Instructions

Assess a company's financial strength using the Financial Health Scores API. This API provides key metrics such as the Altman Z-Score and Piotroski Score, giving users insights into a company’s overall financial health and stability.

Input Schema

NameRequiredDescriptionDefault
limitNoLimit on number of results (default: 100, max: 1000)
symbolYesStock symbol

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.9.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the useful fact that results contain named score metrics, but says nothing about how many periods/records come back, how the limit parameter behaves, or whether scores can be null for some companies. That is modest added value over the 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 first sentence is front-loaded and informative, but the second sentence largely restates it ('insights into overall financial health and stability') without new information. It is short overall, but roughly half the text is redundant marketing phrasing.

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?

For a simple two-parameter read tool with full schema coverage and annotations, the definition is adequate to invoke it correctly. However, it omits anything about result shape (e.g., multiple fiscal periods) or handling of companies without scores, which would matter to an agent interpreting the output since no output schema exists.

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?

Schema description coverage is 100%, so both symbol and limit are already documented, including the default of 100 and max of 1000. The description adds no meaning beyond the schema for either parameter, which is the baseline-3 case.

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 names a specific resource and output: financial strength scores including the Altman Z-Score and Piotroski Score. An agent can tell this returns computed health metrics rather than raw statements. It does not distinguish itself from near neighbors such as getKeyMetrics, getRatios, or getFinancialScoresBulk, so it falls short of a 5.

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?

There is no guidance on when to call this versus the many siblings that also report financial health (getKeyMetrics, getRatios, getFinancialScoresBulk), nor any prerequisite such as needing a valid stock symbol. The agent must infer usage entirely from the name.

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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