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verify_snapshot

Verify a VolatiAI snapshot's chain integrity and return its signature fields for independent verification. Use this to prove the data hasn't been tampered with.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "date": "<date>"
    },
    "name": "verify_snapshot"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateYesYYYY-MM-DD snapshot date

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It conveys that this is a non-mutating verification and that it emits signature fields for independent verification, but it never states what a failed verification looks like (error vs. a negative result), whether results are cached, or any read-only/permission guarantees. For a trust/verification tool, the failure semantics are the most important omitted detail.

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?

Two sentences with no filler, and the substantive purpose (chain integrity verification + signature fields) is front-loaded before the use-case sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A one-parameter tool is simple, and the description does indicate the return content (signature fields). However, with no output schema and no annotations, the agent still lacks the shape of a successful response and, critically, of a failed verification — a gap the description could have closed in one clause.

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?

The single parameter has 100% schema description coverage ("YYYY-MM-DD snapshot date"), so the schema already does the work. The description adds nothing about the date's meaning — e.g., whether it must be a date with an actual snapshot versus any calendar date. Baseline 3 applies when the schema is complete.

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?

Names a specific verb (verify) and a specific resource (a VolatiAI snapshot's chain integrity), and adds what the tool returns (signature fields). None of the siblings (find_corroborations, get_current_revision, get_sector, list_active_signals, list_categories) perform verification, so the agent can route to it unambiguously.

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?

"Use this to prove the data hasn't been tampered with" gives a clear triggering condition, which is stronger than implied usage. It stops short of naming exclusions or an alternative path (e.g., what to do when integrity check fails, or whether a separate retrieval tool is needed first).

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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