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Verify milestone commit

verify_milestone_commit
Read-onlyIdempotent

Verify a milestone-commit schedule on Hedera mainnet (read-only, via the public mirror node). Decodes the scheduled payment (recipient, amount, 98/2 split), reports signatures, expiry, and whether it was executed or deleted. Returns safe_to_start for the worker, optionally checking the schedule against expected milestone id, worker, and amount. A deleted or unsigned schedule means do not start work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schedule_idYesSchedule id, e.g. "0.0.10912653"
expected_amount_hbarNoHBAR amount you expect, e.g. "5"
expected_milestone_idNoMilestone id you expect in the schedule memo
expected_worker_usernameNoWorker username you expect as tip recipient

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior5/5

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

Beyond the annotations (readOnly/idempotent/non-destructive), the description discloses the data source (public mirror node), what gets decoded (recipient, amount, 98/2 split), what is reported (signatures, expiry, executed/deleted status), and the return signal safe_to_start. This is unusually rich behavioral context with no annotation contradiction.

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?

The first sentence front-loads the verb, resource, and read-only scope, followed by return semantics and the decision rule. It is dense but every sentence carries information; minor density rather than waste.

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?

With no output schema, the description does the heavy lifting by naming safe_to_start and the reported fields, and it covers purpose, behavior, and a decision rule. Error/edge handling and the exact return shape are not spelled out, but the picture is complete enough to call the tool correctly.

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, but the description adds meaning by framing expected_milestone_id, expected_worker_username, and expected_amount_hbar as an optional cross-check against expected values. That explains why an agent would supply the otherwise-optional params rather than just restating them.

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 gives a specific verb (verify) and resource (milestone-commit schedule) and scopes it to Hedera mainnet via the public mirror node. An agent can tell this is a verification/read tool rather than a preparation tool, but it never explicitly names its counterpart prepare_milestone_commit, so sibling differentiation is left implicit.

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?

It provides a decision rule ('A deleted or unsigned schedule means do not start work') and implies the worker flow, so usage context exists. However, it never states when to call this versus siblings like prepare_milestone_commit or check_claim_status, nor any prerequisites, so guidance is implied rather than explicit.

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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