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agentsvc-mcp

btc_timestamp_verify

Verify OpenTimestamps (.ots) Bitcoin proofs: upgrade pending calendar proofs, check attestations against block merkle roots, and confirm if text, hash, or URL matches.

Instructions

Bitcoin Timestamp Verify — Verify an OpenTimestamps proof (.ots as base64, from btc-timestamp or any ots client): upgrades pending proofs from the calendars, checks each Bitcoin attestation against the real block's merkle root and returns status (confirmed, pending), block height and time, the upgraded proof, and whether your text, hash or URL matches. Cost: $0.003 USDC per call. Latency p99: 5000ms.

Input Schema

NameRequiredDescriptionDefault
urlNoURL whose current bytes to compare
hashNoSHA-256 hex to compare
textNoOriginal content to compare
ots_base64Yes.ots file as base64

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses the upgrade-from-calendars side effect, the merkle-root attestation check against the real block, the returned statuses (confirmed/pending), and — unusually — cost ($0.003 USDC per call) and p99 latency (5000ms). These are exactly the operational facts an agent needs and cannot infer.

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

Conciseness4/5

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

A single dense sentence that front-loads purpose and input source, then adds the upgrade/check behavior, return values, and cost/latency at the end. Every clause earns its place, though the run-on construction is heavier than strictly necessary.

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?

No output schema exists, and the description compensates by enumerating the return payload (status, block height/time, upgraded proof, match result). Combined with the disclosed cost and latency and full parameter coverage, nothing an agent needs to call this correctly is missing.

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 coverage is 100%, so the baseline is 3, and the description adds genuine meaning by explaining that text, hash, and url exist to check whether the caller's content 'matches' the timestamped proof. That ties the optional comparison params to their purpose rather than restating their types.

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 (verify) and resource (OpenTimestamps proof / Bitcoin attestation) and explicitly scopes the input source ('from btc-timestamp or any ots client'), which cleanly separates it from the sibling btc_timestamp that creates proofs. An agent can identify the tool without opening the schema.

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?

The description makes clear this is the verification counterpart to btc-timestamp and accepts any ots client's proof, giving strong context for when to reach for it. It stops short of explicit when-not guidance (e.g. what to do with an already-confirmed proof or non-ots input), so it is clear but not exhaustive.

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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