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verify_ledger_attestation

Read-onlyIdempotent

Issues a fresh nonce to a Ledger device and verifies the returned Secure Element attestation signature against Ledger's published root CA to confirm device authenticity.

Instructions

READ-ONLY Secure Element attestation challenge (issue #325 P1). INTENDED behavior: issue a fresh nonce APDU to the device, receive the SE's attestation signature, verify locally against Ledger's published attestation root CA. CURRENT behavior: returns status: "not-implemented" with a structured explanation — the actual cryptographic check is gated on live-device research that hasn't happened yet (canonical APDU for current firmware, PEM/DER of Ledger's attestation root CA, signature-verification algorithm). Sibling defenses cover most of the threat surface in the meantime: verify_ledger_firmware (P3, #354), verify_ledger_live_codesign (P4, #360), the WC peer pin (P5, #356), and the per-chain device identity binding at signing time. The tool surface is shipped now so future research can fill in the implementation without a redesign.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds value by explaining the current limitation (returns 'not-implemented' with explanation) and the reasons (missing APDU, CA, algorithm). No contradiction with annotations.

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

Conciseness3/5

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

The description is detailed but somewhat verbose, covering both intended and current behavior, sibling defenses, and future plans. It is front-loaded with 'READ-ONLY Secure Element attestation challenge', but could be more concise by separating the limitation from the core purpose.

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

Completeness5/5

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

Given no output schema, the description explains the return format ('status: "not-implemented"' with structured explanation) and provides context about sibling tools and the research gap. This is complete for a tool in development.

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

Parameters4/5

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

The input schema has no parameters (0 params, 100% coverage). The description does not need to explain any parameters, and it appropriately avoids adding unnecessary information. Baseline score for 0 params is 4.

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 clearly states the intended behavior: issue a nonce APDU, receive attestation, verify against Ledger's root CA. However, it also notes the current implementation returns 'not-implemented'. The tool's purpose is well-defined but not fully operational, which reduces clarity slightly.

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

Usage Guidelines5/5

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

The description explicitly says the tool is READ-ONLY, lists sibling tools that cover the threat surface in the meantime (e.g., verify_ledger_firmware, verify_ledger_live_codesign), and explains that the cryptographic check is pending research. This provides clear guidance on when to use alternatives.

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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