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kronos-forgemesh-mcp

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audit_kronos_decision

Verify a past Kronos decision by auditing it against later prices to get an outcome verdict. Each audit costs $0.07 USDC.

Instructions

Audit a prior Kronos decision_id against later prices and return its outcome verdict. Costs $0.07 USDC.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNo4h
decision_idYesdecision_id returned by create_kronos_decision.
Behavior3/5

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

With no annotations, the description must disclose behavior. It adds the important cost of $0.07 USDC and implicitly suggests a read-only audit, but doesn't explicitly state side effects or safety profile.

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?

Two sentences, front-loaded with the core purpose and followed by cost. Every word earns its place.

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?

The description covers the main flow and cost, but without an output schema it doesn't explain what 'outcome verdict' includes or how the window parameter affects results—leaving some ambiguity for an agent.

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

Parameters3/5

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

Schema coverage is 50%: decision_id has a clear origin description, and window is self-documenting via enum/default. The description text doesn't add parameter details, but the schema provides enough for both params.

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 a specific action (audit a prior Kronos decision) and the purpose (compare against later prices to return an outcome verdict). This distinguishes it from sibling tools like creation or signal fetching.

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

Usage Guidelines4/5

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

The description implies the use case: when a prior decision_id exists and needs post-hoc evaluation. It provides clear context but doesn't explicitly mention alternatives or when not to use the tool.

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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