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CDP batch collateral config

strato.cdp.set-collateral-config-batch

Configure multiple collateral parameters simultaneously for CDP management on the STRATO blockchain. This admin tool allows batch updates to liquidation ratios, penalty rates, stability fees, debt limits, and other collateral settings.

Instructions

Admin: set multiple collateral configs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetsYes
liquidationRatiosYes
liquidationPenaltyBpsArrYes
closeFactorBpsArrYes
stabilityFeeRatesYes
debtFloorsYes
debtCeilingsYes
unitScalesYes
pausesYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'set multiple collateral configs,' implying a write/mutation operation, but fails to detail critical aspects like required permissions, whether changes are reversible, potential side effects, rate limits, or error handling. This leaves significant gaps for a tool with 9 required parameters and administrative implications.

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 extremely concise with just one sentence: 'Admin: set multiple collateral configs.' It is front-loaded with the key action and scope, with no wasted words. However, this brevity comes at the cost of underspecification, but as per scoring rules, conciseness is about efficiency, which this achieves perfectly.

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

Completeness1/5

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

Given the complexity (9 required parameters, administrative mutation tool), lack of annotations, 0% schema coverage, and no output schema, the description is severely incomplete. It doesn't explain parameters, behavioral traits, usage context, or return values, making it inadequate for safe and effective tool invocation by an AI agent.

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

Parameters1/5

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

The schema description coverage is 0%, meaning none of the 9 parameters are documented in the schema. The description adds no information about what these parameters mean (e.g., what 'assets' or 'liquidationRatios' represent), their formats, or how arrays should be aligned. This fails to compensate for the complete lack of schema documentation, leaving parameters entirely unexplained.

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

Purpose3/5

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

The description 'Admin: set multiple collateral configs' clearly indicates an administrative action to configure collateral settings in batch, but it's vague about what 'collateral configs' entail. It distinguishes from the sibling 'strato.cdp.set-collateral-config' by specifying 'batch' in the name, but the description doesn't explicitly highlight this difference, leaving the scope ambiguous.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like the non-batch version 'strato.cdp.set-collateral-config' or other configuration tools. The 'Admin:' prefix implies administrative privileges, but it doesn't specify prerequisites, exclusions, or contextual triggers for batch operations, offering minimal usage direction.

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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