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Scored across 29 tools
Most tools target a distinct numerical method, but several pairs overlap heavily: dynamic_1d_solve already returns equilibria, stability, phase portrait and time series, which is nearly what dynamic_1d_equilibria does, and dynamic_2d_linear_solve (X'=A·X+B with constant B) is a special case of dynamic_2d_nonhomogeneous_solve, making selection guesswork. The Monte Carlo family (valor_promedio, estadistico, convergencia, hit_or_miss) is distinguishable but requires reading descriptions closely, and individual rule tools versus the two *_comparar tools also invite misselection.
A domain-prefix convention exists (integral_, root_, ode_, mc_, dynamic_1d_, dynamic_2d_) and is mostly snake_case, but it is broken by bare names like finite_differences and interpolation_lagrange. Spanish and English are mixed within the same pattern (integral_comparar vs integral_trapecio vs root_newton_raphson; mc_valor_promedio_1d vs mc_hit_or_miss_1d), and suffixes mix verbs (solve, comparar) with nouns, so the scheme is readable but not predictable.
At 29 tools this is well past a comfortable scope for one server. The surface could be consolidated substantially: the four quadrature rules could be a single tool with a 'method' parameter (the comparison tool already does this), as could the three ODE solvers and several of the 2D dynamical-system variants.
Core numerical analysis areas are well covered — root finding, quadrature, ODE IVPs, Monte Carlo, and dynamical systems each have multiple methods plus comparison tools. However, there are notable gaps: interpolation has only Lagrange (no Newton/divided differences or splines), and there are no direct linear-system solvers (Gauss elimination, LU, iterative methods) or least-squares/curve-fitting tools, which are standard in this domain.