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Get forward estimates

get_forward_estimates

Fetch cached analyst consensus revenue and EPS estimates, plus available EPS revision percentages, for a Bullrun ticker to support forward valuation analysis.

Instructions

Read cached Yahoo analyst consensus revenue/EPS estimates and available EPS revision percentages for one exact Bullrun ticker. A free background refresh checks supported symbols on demand, storing at most one snapshot per day; the first read may be empty. Fiscal periods and source currency are preserved. The configured feed does not provide EBITDA estimates, management guidance or revenue revisions. Forward P/E/PEG context uses the latest annual consensus snapshot only when quote and EPS currency units match. Does not change portfolios or user data.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum estimate rows to return.
tickerYesBullrun ticker, e.g. "AAPL", "CRWD", "SPGI". Bullrun tickers: US and most European listings use the plain local symbol (AAPL, BMW, NESN, ABBN); most Asian and Indian listings keep their exchange suffix (Tokyo 6324.T, Hong Kong 0700.HK, Shanghai 600519.SS, Shenzhen 000001.SZ, Taiwan 2330.TW, Korea 000100.KS, Singapore D05.SI, India RELIANCE.NS), but some Japanese and Korean large caps are plain codes (Toyota 7203, Samsung 005930). Either form is resolved automatically when exactly one listing matches; use search_stocks to find a ticker by company name or ISIN.
periodTypeNoReturn annual estimates, quarterly estimates, or both.both

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.8.1
    • changedInput schema / properties / ticker / description
      Previous value: -"The ticker exactly as listed on Bullrun, e.g. \"AAPL\", \"CRWD\", \"SPGI\"."New value: +"Bullrun ticker, e.g. \"AAPL\", \"CRWD\", \"SPGI\". Bullrun tickers: US and most European listings use the plain local symbol (AAPL, BMW, NESN, ABBN); most Asian and Indian listings keep their exchange suffix (Tokyo 6324.T, Hong Kong 0700.HK, Shanghai 600519.SS, Shenzhen 000001.SZ, Taiwan 2330.TW, Korea 000100.KS, Singapore D05.SI, India RELIANCE.NS), but some Japanese and Korean large caps are plain codes (Toyota 7203, Samsung 005930). Either form is resolved automatically when exactly one listing matches; use search_stocks to find a ticker by company name or ISIN."
  2. First observedv0.1.0

TDQS

A4.1/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: on-demand background refresh writes a snapshot at most once per day, first read may be empty, and the data has known gaps (no EBITDA estimates, management guidance, or revenue revisions). It also discloses the currency-unit matching condition for forward P/E/PEG and clarifies it does not mutate portfolios or user data, which is consistent with destructiveHint=false.

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?

Front-loaded with the core purpose, and each subsequent sentence carries distinct information about caching, coverage limits, or currency handling. It is dense and slightly longer than needed, but there is little wasted text.

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

Completeness4/5

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

With no output schema, the description does well to state what is returned (consensus revenue/EPS estimates, EPS revisions) and what is not available. It doesn't describe row shape or pagination behavior for the limit parameter, which is a minor remaining 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 coverage is 100%, so ticker, periodType, and limit are already fully documented, including examples and enum values. The description adds only modest context (fiscal periods and source currency preserved, exact ticker required), so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence names a specific verb (read cached Yahoo analyst consensus revenue/EPS estimates plus EPS revision percentages) and a precise resource scope (one exact Bullrun ticker). It is clearly distinguishable from sibling tools like get_financial_history or get_stock_metrics, which cover reported history and metrics rather than forward consensus.

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?

Usage is implied through the caching note ('the first read may be empty') and the single-ticker constraint, which hints at how to call it. However, there is no explicit when-to-use/when-not guidance and no named alternative for consensus estimates, so routing is left to inference.

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