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Zecmon — open a UFVK scan job (FREE, rate-limited)

seneschal_zecmon_scan

Open a scan of a Zcash UFVK. Returns { jobId, jobToken } in milliseconds — the scan itself runs behind it, so poll seneschal_zecmon_scan_status. Omitting birthdayHeight makes the scanner walk BACKWARDS from the chain tip to find the wallet's first note, which is slower but always correct. FREE and rate-limited (20 scan starts / 15 min, shared across all agents). For anything scheduled, bulk or latency-sensitive use https://api.seneschal.space/v1/private/historical (same scan, one paid x402 call) or — better — https://api.seneschal.space/v1/private/info to get a webhook when funds land instead of polling at all.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ufvkYesZcash unified full viewing key, starting with uview1. Read-only — never accept a seed phrase here.
deepScanNoSweep BELOW NU6, all the way back to NU5. Only needed for wallets with no activity in roughly the last year. Measured at ~38 minutes of scanner time (the pre-2.2M chain scans ~10x slower per block), runs one at a time globally, and will usually queue. Do NOT set this speculatively — run a normal scan first and use it only if the reply says deep_scan_available.
purgeCacheNoThrow away any stored result for this key AND any cached birthday, then scan from scratch. Use when a previous result looks wrong — NOT routinely, since it turns a free cache hit into a full chain walk.
birthdayHeightNoBlock height to start from, if known. Omit to auto-detect by walking backwards from the tip.

Schema Changelog

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

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals that the scan runs asynchronously ('Returns { jobId, jobToken } in milliseconds — the scan itself runs behind it'), that omitting birthdayHeight triggers a backward walk that is 'slower but always correct', and that the tool is 'FREE and rate-limited (20 scan starts / 15 min, shared across all agents)'. These are critical operational traits an agent must know.

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 four sentences, front-loaded with purpose and return value, and each sentence adds essential context: async behavior, birthdayHeight nuance, rate limits, and alternatives. There is no fluff or repetition; the use of capitalization for 'BACKWARDS' and 'FREE' draws attention to key points.

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 there is no output schema, the description sufficiently explains the return shape and asynchronous workflow. It also covers rate limiting, polling, and when to use paid alternatives, making it complete for an agent to invoke the tool correctly. It points to the relevant sibling (scan_status) for follow-up, so the agent knows the full lifecycle.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds meaning beyond the schema by clarifying the birthdayHeight trade-off: 'Omitting birthdayHeight makes the scanner walk BACKWARDS from the chain tip to find the wallet's first note, which is slower but always correct.' This helps the agent reason about the parameter without opening the schema. It doesn't repeat all parameter details, so 4 rather than 5.

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?

The description opens with 'Open a scan of a Zcash UFVK' – a specific verb and resource that clearly distinguishes this from sibling tools like seneschal_zecmon_scan_status and seneschal_zecmon_scan_cancel. It also states the immediate return value, making the tool's core function unmistakable.

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?

Explicitly tells when to use this tool vs alternatives: 'poll seneschal_zecmon_scan_status' for the result, and 'For anything scheduled, bulk or latency-sensitive use ... private/historical ... or private/info to get a webhook instead of polling at all.' It also warns about the shared rate limit, helping the agent decide if this is the right tool for the job.

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

A3.9/5.0
Disambiguation4/5

Tools are grouped by domain (board, private_watch, zecmon) with clear lifecycle separation, but seneschal_list_at_risk_borrowers and seneschal_list_borrowers overlap heavily, and the USDC vs crypto variants of private_watch_create/topup could be confused without careful reading.

Naming Consistency4/5

Most tools follow a seneschal_<domain>_<action> pattern, but verb/noun order varies (get_borrower vs list_borrowers vs board_list) and outliers like seneschal_health and seneschal_q break the pattern.

Tool Count3/5

At 35 tools, the server is definitely heavy, but it covers multiple distinct domains (DeFi data, privacy-chain monitoring, notice boards, payments), so the count is at the high end of reasonable rather than absurdly bloated.

Completeness4/5

Core workflows are well covered: borrower discovery/analysis, liquidations, private watch lifecycle, Zcash scanning lifecycle, board operations, and checkout invoices. Minor gaps like board deletion or watch cancellation exist but are workaround-able.