Skip to main content
Glama
lkcair

yfinance-ai MCP server

by lkcair

get_analyst_estimates

Read-onlyIdempotent

Retrieves analyst estimates for a stock's earnings, revenue, and EPS, helping you assess forward-looking forecasts and consensus expectations.

Instructions

Get analyst estimates for earnings, revenue, and EPS.

Args: ticker: Stock ticker symbol

Returns: Comprehensive analyst estimates and forecasts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context such as data freshness, estimate period, or source, but it does not contradict the annotations. With annotations carrying the safety burden, a 3 is appropriate.

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 short and front-loaded with the main purpose. The Args/Returns structure is useful, though 'Comprehensive analyst estimates and forecasts' slightly restates the opening sentence.

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?

An output schema exists, so return values need not be fully explained. However, for an analyst-estimates tool in a crowded sibling set, the description omits the estimation period/horizon and does not clarify when to choose this over related estimate tools, leaving some selection ambiguity.

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 0%, so the description must compensate for the single ticker parameter. It does document 'ticker: Stock ticker symbol' in the Args section, but it adds no format details, examples, or exchange-suffix guidance beyond the parameter name.

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 uses a specific verb and resource: 'Get analyst estimates' for earnings, revenue, and EPS. It is clear what the tool returns, though it does not explicitly distinguish itself from sibling tools such as get_analyst_price_targets, get_analyst_recommendations, or get_growth_estimates.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or sibling tools, so the agent must infer selection from the tool name and the crowded sibling list.

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