tools.schemasevery tool has an object input schema
pass
tools.annotations2 of 2 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: monte_carlo_estimate (idempotentHint); retirement_drawdown (idempotentHint)
pass
tools.token_costabout 495 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
pass
stability.changes2 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package
2 tools, about 495 tokens to load them all · tool set 43818b419af9 · tools last changed 2026-10-03 · checked 2026-10-19 10:52 UTC
Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). Educational output only — always present it with its assumptions and disclaimer, never as personal financial advice.
after · 78% of words in common
Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). The output is an educational illustration with its assumptions and a disclaimer attached; it is not personal financial advice.
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
Endpoints
remote
auth
reachable
uptime 30d
p50
protocol
last ok
https://lowriskquotes.com/api/mcp/streamable-http
none
yes
100%
321 ms
2025-11-25
2026-10-19
Tools (2)
monte_carlo_estimateread-only
Run a three-point (triangular) Monte Carlo simulation over cost line items. Use when a user needs a realistic range for a quote, budget or project cost instead of a single guess. Returns total-cost percentiles (p10/p50/p80/p90) and per-item breakdown.
retirement_drawdownread-only
Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). The output is an educational illustration with its assumptions and a disclaimer attached; it is not personal financial advice.