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Grade a forge with Jev (RUBRIC_v1): code checks the facts first, then Jev answers whether the code does what the trader said. Spends one of the trader's Jev decisions (trial, plan or their own key). It judges fidelity to their words, never profitability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seed_hashYesthe seed hash forge returned

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false; the description adds genuinely useful context beyond them: it consumes a limited resource (one Jev decision), clarifies the two-phase evaluation (code checks facts, then Jev judges), and scopes its judgment to fidelity, explicitly not profitability. It does not contradict the annotations.

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?

Three dense but front-loaded sentences with no filler: what it does, what it costs, and what it judges. The jargon makes it compact at the expense of readability, but every clause carries information.

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 novel, side-effectful single-parameter tool with no output schema, the description conveys the mechanics (two-stage check), the cost model, and the evaluation criterion, which is enough to call it correctly. Return format is left implicit, but no output schema exists to conflict with that.

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 100% and the sole parameter seed_hash is documented as 'the seed hash forge returned'. With one fully documented parameter, the schema does the work and the description adds no syntax or format detail; baseline 3 applies.

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

Purpose4/5

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

The description gives a specific verb and resource — grading a forge with Jev under RUBRIC_v1 — and implicitly positions it as the post-forge evaluation step, which separates it from the sibling 'forge'. It is domain-jargon heavy ('Jev', 'RUBRIC_v1'), but the action and target are identifiable.

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?

Usage is implied by 'Grade a forge' (i.e., after producing a forge) and it notes the cost — spending one of the trader's Jev decisions (trial, plan or key). It does not state when not to use it, nor explicitly name an alternative or prerequisite step.

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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