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Get forward estimates

get_forward_estimates
Read-only

Fetch forward consensus revenue/EPS/EBITDA estimates, management guidance ranges, and estimate-revision percentages for one exact Bullrun ticker. Also derives simple forward P/E and PEG-style context from the latest close when EPS estimates are available. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum estimate rows to return.
tickerYesThe ticker exactly as listed on Bullrun, e.g. "AAPL", "CRWD", "SPGI".
periodTypeNoReturn annual estimates, quarterly estimates, or both.both

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

The description adds significant value beyond the readOnlyHint annotation by stating that the tool derives P/E and PEG context from the latest close, and it explicitly marks itself as read-only. No contradictions with annotations.

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?

Three sentences, each providing distinct value: core function, derived context, and read-only designation. No superfluous words; well front-loaded with the main purpose.

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?

For a tool with 3 parameters and no output schema, the description covers the main return data (estimates, guidance, revisions, derived metrics). It lacks details on pagination or error handling, but these are not critical for basic usage.

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?

With 100% schema coverage, the description does not need to repeat parameter details but adds context about the type of estimates (revenue, EPS, EBITDA) which relates to the output. It does not provide additional parameter syntax or behavior beyond the schema.

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 description explicitly states the verb 'Fetch' and the resource 'forward consensus revenue/EPS/EBITDA estimates' for a specific Bullrun ticker, clearly distinguishing it from sibling tools like 'get_earnings_call_transcript' or 'get_financial_history' which cover other data types.

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

Usage Guidelines4/5

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

The description clearly states it is for 'one exact Bullrun ticker', implying it should not be used for multiple tickers or other platforms. However, it does not explicitly exclude alternative uses or mention sibling tools for comparison.

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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