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SCRIPTMASTERLABS — PRO-LO

coherence_jev_verdict

Paid (x402, 0.25 RLUSD) read-only decision product: computes PRO-LO multi-path coherence for a ticker — coherence = |Σ w·d| / Σ w across the signal paths (paths that cannot answer abstain and never vote) — and adds a Jev (TypeSafe AI) review. Verdict is PASS when consensus is non-flat, coherence >= 0.6, at least 2 paths agree, and the agreeing paths span at least 2 distinct data families (the trade composite and daily trend share the price series = one family); otherwise DENY, with a family-blocked DENY naming that reason. Jev review reports status unavailable when TYPESAFE_API_KEY is not configured — never simulated.

Input Schema

NameRequiredDescriptionDefault
claimNoOptional claim or context being evaluated (echoed back in the result)
actionNoOptional proposed action this verdict is about (context, echoed back in the result)
tickerYesStock ticker symbol (e.g. NVDA, AMC, GME)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior1/5

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

The description calls this a read-only decision product, but annotations declare readOnlyHint=false, which is a direct contradiction. The description otherwise adds useful behavioral detail such as pricing, abstention behavior, and Jev key handling, but the annotation contradiction forces a 1.

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

Conciseness4/5

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

The description is dense but front-loaded with the core product, cost, and verdict logic. The parenthetical technical details are useful for understanding the decision rule, though the single paragraph could be more structured.

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

Completeness4/5

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

For a complex paid decision tool with no output schema, it explains the verdict logic, family requirement, path abstention behavior, and Jev key limitation. It lacks sibling routing guidance, but the core invocation context is largely complete.

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 description coverage is 100%, so ticker, claim, and action are already documented in the schema. The description confirms ticker scope and echo behavior but adds no parameter syntax or constraints beyond that baseline.

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?

States a specific verb and resource: computes PRO-LO multi-path coherence for a ticker and adds a Jev review. The PASS/DENY definition makes the product distinct from generic analysis siblings, even without naming them.

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?

There is no explicit when-to-use, when-not-to-use, or alternative routing guidance among siblings such as coherence_gate_review or earnings_gate_verdict. Usage is only implied by calling it a decision product and listing verdict conditions.

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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