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aetre_quadratic_staking

Compute anti-sybil staking deposits that scale super-linearly with submission count to deter AI spam, preserving affordable human entry.

Instructions

Calculates super-linear anti-sybil staking deposit requirements (Stake(m) = S_0 * m^gamma) to deter mass AI spam submissions while preserving human entry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoEnterprise license key required.
base_feeYesBase deposit for a single submission (S_0), e.g. $5.00.
generation_costNoAI generation cost per submission (c_gen). Defaults to 0.05.
submission_countYesTotal submissions attempted by the entity within the time window (m).
escalation_exponentNoEscalation exponent gamma >= 1.0 (e.g. 2.0 for quadratic escalation). Defaults to 2.0.
private_acceptance_valueNoPrivate monetary or prestige payoff if accepted (V). Defaults to 100.0.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It does not disclose any behavioral aspects such as read-only status, authentication requirements (despite the api_key parameter), rate limits, or side effects. The description only explains the calculation formula without addressing safety or access constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the verb 'Calculates', includes the precise formula, and states the purpose. It has no unnecessary words and is appropriately sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the clear formula and purpose, the description lacks information about the return value/output format (with no output schema), error behavior, or the requirement for api_key. Given the tool's complexity and absence of annotations, more context about expected outputs and usage constraints would be needed for complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so each parameter is individually described. The description adds the formula Stake(m)=S_0*m^gamma, which clarifies the relationship among base_fee, submission_count, and escalation_exponent, going beyond individual parameter descriptions and providing cohesive semantic context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool calculates super-linear anti-sybil staking deposit requirements, specifies the formula Stake(m) = S_0 * m^gamma, and gives the intended purpose (deterring AI spam while preserving human entry). It distinguishes itself from siblings like aetre_evaluate_staking by focusing on calculation, not evaluation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when deposit requirements need to be computed for anti-sybil purposes, but it does not explicitly state when not to use it or compare to alternatives. No exclusions or alternative routing are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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