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Equation 4 · Tool Protocols in 2035: Two Axes, Four Scenarios, and What Would Falsify Them

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Trust(s)={certified,ϵ^(s)≤ϵmax⁡ and ϵ^(s) independently auditedunverified,otherwise\text{Trust}(s) = \begin{cases} \text{certified}, & \hat\epsilon(s) \le \epsilon_{\max} \ \text{and} \ \hat\epsilon(s) \ \text{independently audited} \\ \text{unverified}, & \text{otherwise} \end{cases}

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ss

Symbol s

s is an argument of the function-like quantity on the left; its role is set by that function’s stated inputs.

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ϵ^\hat\epsilon

Symbol hatepsilon

hatepsilon appears in the objective or constraint used by the optimization on the right.

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ϵmax⁡\epsilon_{\max}

Symbol epsilon_max

epsilonmn_max appears in the objective or constraint used by the optimization on the right.

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=

=

The expressions on both sides represent the same quantity under the stated assumptions.

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subscript

subscript

The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.

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A convenient way to see what a resolved Axis B would actually require is to write the registry’s listing decision as a threshold rule. Let ϵ^(s)\hat\epsilon(s) be an estimate of the probability that a listed tool or server s behaves differently from what its description claims once it is actually invoked, and let ϵmax⁡\epsilon_{\max} be the error tolerance a registry operator or a downstream client is willing to accept. A defensible rule is Trust(s)={certified,ϵ^(s)≤ϵmax⁡ and ϵ^(s) independently auditedunverified,otherwise\text{Trust}(s) = \begin{cases} \text{certified}, & \hat\epsilon(s) \le \epsilon_{\max} \ \text{and} \ \hat\epsilon(s) \ \text{independently audited} \\ \text{unverified}, & \text{otherwise} \end{cases}. Both clauses have to hold. The MCPTox and Parasites-in-the-Toolchain results are, in effect, unaudited-but-measured estimates of ϵ^(s)\hat\epsilon(s) for today’s ecosystem, and they are far above any ϵmax⁡\epsilon_{\max} a reasonable operator would set […
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A convenient way to see what a resolved Axis B would actually require is to write the registry’s listing decision as a threshold rule. Let ϵ^(s)\hat\epsilon(s) be an estimate of the probability that a listed tool or server s behaves differently from what its description claims once it is actually invoked, and let ϵmax⁡\epsilon_{\max} be the error tolerance a registry operator or a downstream client is willing to accept. A defensible rule is Trust(s)={certified,ϵ^(s)≤ϵmax⁡ and ϵ^(s) independently auditedunverified,otherwise\text{Trust}(s) = \begin{cases} \text{certified}, & \hat\epsilon(s) \le \epsilon_{\max} \ \text{and} \ \hat\epsilon(s) \ \text{independently audited} \\ \text{unverified}, & \text{otherwise} \end{cases}. Both clauses have to hold. The MCPTox and Parasites-in-the-Toolchain results are, in effect, unaudited-but-measured estimates of ϵ^(s)\hat\epsilon(s) for today’s ecosystem, and they are far above any ϵmax⁡\epsilon_{\max} a reasonable operator would set [ 9 , 8 ] . The official registry currently supplies neither clause — it does not estimate ϵ^(s)\hat\epsilon(s) for its entries, and it explicitly disclaims warranting them [ 4 ] . Plugging today’s numbers into the rule above collapses every entry to “unverified,” regardless of how confidently a listing describes itself, which is precisely why whether tool marketplaces and registries develop real trust and reputation systems is not a third axis. It is Axis B, asked about the discovery layer specifically, and it does not have independent content beyond asking again whether that axis resolves toward certified or stays empirical.

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