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PricingLab

by com.matlogica
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Server Details

Price derivatives, insurance and energy models with exact sensitivities, checked against bumping.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.2/5.0

Scored across 5 tools

Disambiguation4/5

Each tool has a clear primary purpose, and the catalog/inspect/price/function/validate separation is easy to follow. The only mild overlap is between price_model and check_against_bumping, since both involve sensitivities, but the latter is explicitly a validation/comparison tool.

Naming Consistency5/5

All tool names use consistent snake_case and a verb_noun-like pattern: list_models, describe_model, price_model, run_model_function, check_against_bumping. The convention is predictable throughout.

Tool Count5/5

Five tools is well-scoped for a compact pricing-model server. Each tool covers a distinct part of the workflow without excessive surface area.

Completeness4/5

The surface covers model discovery, inspection, pricing, extra calculations, and sensitivity validation, which is strong for a read-only pricing lab. Minor gaps may remain around scenario management or broader model lifecycle operations, but core agent workflows are covered.

Available Tools

5 tools
check_against_bumpingBInspect

Recompute the sensitivities by central bump-and-revalue on the same scenarios; report each gap, whether they agree within tolerance, and the time each method took.

Inputs: model (required), inputs. Returns: result

describe_modelCInspect

Inputs (name, unit, default, range, demo-server cap), outputs and extra functions of one model.

Inputs: model (required). Returns: result

list_modelsAInspect

List the available models with a one-line summary each.

Inputs: no named parameters. Returns: result

price_modelCInspect

Value and all sensitivities from one adjoint pass. inputs overrides defaults by name.

Inputs: model (required), inputs. Returns: result

run_model_functionCInspect

Run a model's extra calculation, e.g. model='variable_annuity', function='nested'.

Inputs: model (required), function (required), inputs. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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