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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getWilliams

Read-onlyIdempotent

Calculate Williams %R for a stock to identify overbought or oversold conditions and potential reversal signals from historical price data.

Instructions

Calculate the Williams %R for a stock using the FMP Williams %R API. This tool helps users analyze overbought/oversold conditions and potential reversal signals based on historical price data.

Input Schema

NameRequiredDescriptionDefault
toNoEnd date (YYYY-MM-DD)
symbolYesStock symbol
from_dateNoStart date (YYYY-MM-DD)
timeframeYesTimeframe (1min, 5min, 15min, 30min, 1hour, 4hour, 1day)
periodLengthYesPeriod length for the indicator

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. Changed2 schema fields changedv2.6.10
    • removedInput schema / properties / from
      Removed value: -{
      -  "description": "Start date (YYYY-MM-DD)",
      -  "type": "string"
      -}
    • addedInput schema / properties / from_date
      Added value: +{
      +  "description": "Start date (YYYY-MM-DD)",
      +  "type": "string"
      +}
  3. First observed

TDQS

A3.5/5.0
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 that the calculation uses historical price data and the FMP API, but it does not disclose return format, data freshness, or rate-limit behavior beyond what annotations provide.

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 two sentences, front-loads the core action, and contains no wasted wording. The second sentence adds analytical purpose without duplicating the name or schema.

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 technical-indicator tool with fully documented required parameters and read-only annotations, the description is sufficient to invoke it. However, with no output schema, it does not explain what the Williams %R response contains or how to interpret returned values, leaving a meaningful gap.

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 all five parameters are already documented in the schema. The description does not add formatting or semantic detail for symbol, periodLength, timeframe, from_date, or to, so the baseline of 3 applies.

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: "Calculate the Williams %R for a stock." It clearly identifies the indicator and data source, though it does not explicitly contrast with sibling indicator tools such as getRSI or getSMA.

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?

It gives implied usage context by mentioning overbought/oversold analysis and reversal signals, but it does not state when to use this tool versus alternatives or any exclusions. The guidance is useful but not operational.

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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