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LitVM TCG Oracle

Get Graded Proof

get_graded_proof

Merkle proof for a GRADED-slab price on the GradedPriceOracle contract (LiteForge, Chain 4441). The graded price tree is committed on-chain daily — this proof lets any agent verify a slab price trustlessly, the same way get_merkle_proof verifies raw-card prices. Grades like 'PSA 10', 'PSA 9', 'BGS 9.5'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gradeNoPSA 10
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

No annotations are provided, but the description adds meaningful behavioral context: the proof enables trustless verification, the price tree is committed on-chain daily, and any agent can verify. It does not explicitly state read-only/no side effects, but the Merkle-proof framing and 'any agent' phrasing strongly imply a non-mutating, accessible operation.

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 three sentences with no filler. The first sentence states the core purpose, the second adds verification context and sibling distinction, and the third gives concrete grade examples. Every sentence 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 output schema covers return values, and the description covers the contract, chain, verification mechanism, and sibling relationship. However, the meaning of product_id remains ambiguous, which is a significant gap for correct invocation. Overall it is mostly complete but not fully self-sufficient.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It provides useful grade examples like 'PSA 10' and 'BGS 9.5', but it does not explain what product_id refers to or how it relates to grade. This leaves a critical parameter under-defined.

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?

Description states a specific verb and resource: fetching a Merkle proof for a graded-slab price from the GradedPriceOracle on a specific chain. It also distinguishes itself from get_merkle_proof by clarifying that get_merkle_proof handles raw-card prices while this one handles graded prices.

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?

Usage context is implied clearly: use this tool for graded slab prices, and use get_merkle_proof for raw-card prices. However, it does not explicitly state when not to use this tool or list exclusions/prerequisites beyond that analogy.

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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