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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. Dates show when Glama detected each change.

  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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TDQS

B3/5.0
Disambiguation4/5

Most tools have clearly distinct purposes and thorough descriptions. However, the sheer number (84) and some similarly named tools (e.g., check_balance vs check_authority_balance) could cause minor confusion for an agent.

Naming Consistency3/5

All tools share the 'taxsort_' prefix, but the naming pattern is inconsistent: some use verb_noun (check_balance), while others use noun_noun (account_statement) or other structures. This mixed convention reduces predictability.

Tool Count2/5

84 tools is excessive for typical MCP server coherence. While the domain is broad, many tools seem administrative (e.g., get_anthropic_key) and could be consolidated. The high count likely overwhelms agents.

Completeness4/5

The tool set covers the core tax classification workflow (import, classify, summarize) plus auxiliary systems (payments, credentials, coupons, notarization). Minor gaps exist (e.g., no CSV export), but overall coverage is comprehensive.