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taxsort_get_notarization_proof

Generate a Merkle inclusion proof that a patron's balance was included in a Bitcoin-notarized snapshot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
npubYesThe patron's Nostr public key (npub1...).
notarization_idYesThe notarization record ID.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / notarization_id / description
      Added value: +"The notarization record ID."
    • addedInput schema / properties / npub / description
      Added value: +"The patron's Nostr public key (npub1...)."
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It conveys the core non-mutating behavior (generating a proof from a stored notarization) and the semantic meaning of the proof, but it does not disclose failure modes, such as behavior for an unknown notarization_id or a patron not included in the snapshot, nor any authorization requirements.

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?

A single 19-word sentence with the verb and resource front-loaded. Every word carries meaning, and there is no filler, repetition, or boilerplate — an example of genuine economy.

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 simple 2-parameter tool with 100% schema coverage and an output schema present, the description is largely sufficient for correct invocation. The main gaps are unstated edge-case semantics and the absent usage relationship to the npub_proof siblings, which keeps it just short of fully 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 the baseline of 3 applies; the schema already documents npub (Nostr public key, npub1... format) and notarization_id. The description adds only modest connective meaning by mapping 'patron's balance' to npub and the snapshot to notarization_id, with no additional parameter-level detail beyond the schema.

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 ('Generate') and a specific, technically precise resource ('Merkle inclusion proof' of a patron's balance in a 'Bitcoin-notarized snapshot'). The terminology distinguishes it from overlapping siblings such as taxsort_request_npub_proof and taxsort_receive_npub_proof, which suggest different stages of the proof lifecycle, and from taxsort_check_proof_status, which implies status checking rather than generation.

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?

No explicit when-to-use or when-not-to-use guidance is given, and no alternative tools are named. The usage context is implied by the specific wording — call this when you need cryptographic proof of balance inclusion in a notarized snapshot — but an agent must infer exclusions and edge cases on its own.

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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