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QuantCalc Retirement Engine: tool descriptions scored app.quantcalc/retirement-engine

tools/list taken
(UTC)
Connected to
https://mcp.quantcalc.app
Scoring rules
v2
Score this URL as it is today

Scores, issues and names only

This page shows how QuantCalc Retirement Engine (app.quantcalc/retirement-engine)'s tool descriptions scored, the issues found and the names of its tools and parameters. The descriptions are the server's own: read them where the copy came from.

Forecall asked the URL this server lists in the official MCP Registry for its tools/list once, on the date above, without calling any tool. The server may have changed since.

servers/app.quantcalc/retirement-engine
Average score
63.8 / 100Cloudy
Tools
19
Near-identical descriptions
0

Across the server

  • Minor
    The server has no instructions. Say there, once, what the server is for and when to use it: Claude Code and Gemini CLI read the instructions before the tool descriptions.instructions_missing

Tools

list_return_assumption_sources

53 / 100Cloudy

Purpose
14 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

irmaa_check

54 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
23 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

explain_methodology

56 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
25 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
0 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context

aca_premium_tax_credit

57 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
20 / 25
Return value
0 / 15
Constraints and side effects
10 / 10
Examples
10 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context
  • Minor
    Says nothing about what it returns.no_return_info

compare_return_assumptions

57 / 100Cloudy

Purpose
17 / 20
When to use
0 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Major
    Says nothing about when to use it, or when not to.no_usage_context
  • Minor
    The description mentions none of its 3 or more arguments.params_not_in_description

calculate_rmd

60 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
0 / 10

No issues.

capital_gains_tax

62 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

qcd_tax_savings

62 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

run_retirement_projection

62 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Minor
    The description mentions none of its 3 or more arguments.params_not_in_description

roth_conversion_tax_cost

65 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10

No issues.

run_tax_aware_projection

65 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
21 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10
  • Minor
    Arguments without a description: roth_conversion.start_age, roth_conversion.end_age, dependents[].age, dependents[].student, dependents[].disabled, annuity.source.param_no_description
  • Minor
    The meaning of the boolean argument dependents[].student is unclear.vague_boolean
  • Minor
    The meaning of the boolean argument dependents[].disabled is unclear.vague_boolean

calculate_2026_income_tax

66 / 100Cloudy

Purpose
17 / 20
When to use
10 / 20
Arguments
20 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10

No issues.

social_security_taxable_amount

67 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
23 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
5 / 10
  • Minor
    The description mentions none of its 3 or more arguments.params_not_in_description

estimate_2026_tax_return

68 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
22 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10

No issues.

state_tax_in_every_state

68 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
22 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
10 / 10

No issues.

business_deduction_tax_savings

69 / 100Cloudy

Purpose
17 / 20
When to use
5 / 20
Arguments
20 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
10 / 10

No issues.

optimize_social_security_claiming

71 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
17 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
10 / 10
  • Minor
    Arguments without a description: roth_conversion.start_age, roth_conversion.end_age, dependents[].age, dependents[].student, dependents[].disabled, annuity.source.param_no_description
  • Minor
    No `required` list, so every argument is optional.no_required
  • Minor
    The meaning of the boolean argument dependents[].student is unclear.vague_boolean
  • Minor
    The meaning of the boolean argument dependents[].disabled is unclear.vague_boolean

estimated_tax_payments_2026

74 / 100Clear

Purpose
17 / 20
When to use
15 / 20
Arguments
23 / 25
Return value
7 / 15
Constraints and side effects
7 / 10
Examples
5 / 10
  • Minor
    The description mentions none of its 3 or more arguments.params_not_in_description

pretax_contribution_savings

76 / 100Clear

Purpose
17 / 20
When to use
10 / 20
Arguments
22 / 25
Return value
7 / 15
Constraints and side effects
10 / 10
Examples
10 / 10

No issues.

What static scoring cannot tell

This score reads only the text of each description and schema: it says what is written, not what a model will do. Short tools whose names already say what they do, such as browser_close, score low here even when models use them well, and in our measurements current models chose the right tool in one step even from one-line descriptions, as long as the names and schemas differed. What the text cannot show, such as what happens over several steps and whether an added sentence helps or misleads, is what an evaluation measures, on the Pro and Team plans.

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