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get_upgrade_status

Read-onlyIdempotent

Upgrade Copilot for a Canton validator: given the Splice version a node runs and its network, report whether it is below the minimum in force, how many releases behind, the next topology freeze and LSU (with UTC time), the minimum .dar package versions, and the breaking changes between the running version and the target. Canton-specific. Use when an operator asks "am I safe to skip this week?", "what breaks if I upgrade?", or "when is my next deadline?".

Input Schema

NameRequiredDescriptionDefault
versionNoSplice version the node currently runs, e.g. "0.6.9". Omit to get the schedule without a verdict.
environmentYesWhich network the node runs on.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's added value is in scope: it details the exact information returned and clarifies that the version parameter drives whether a verdict is produced. Good context beyond the annotations, though it doesn't discuss freshness/latency of the upgrade data.

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?

Front-loaded with the core purpose, then output list and use cases. The output enumeration is dense but each element is informative; slight verbosity but no wasted filler.

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 correctly enumerates return values (verdict, releases behind, deadlines, .dar versions, breaking changes) so an agent knows what to expect. Minor gap: no note on the timezone/origin or freshness of the schedule data beyond 'UTC time'.

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 coverage is 100%, so both parameters are already documented, and the description's 'omit to get the schedule without a verdict' restates the version param's schema note. Baseline 3 is appropriate—the description adds little 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 and resource ('Upgrade Copilot for a Canton validator') and enumerates exactly what it reports: minimum-in-force status, releases behind, next topology freeze and LSU, .dar package versions, and breaking changes. This is concrete enough to distinguish it from neighbors like get_breaking_changes or get_sv_schedule that return only a slice of this.

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?

Provides explicit trigger phrases ('am I safe to skip this week?', 'what breaks if I upgrade?', 'when is my next deadline?') that map directly to operator intent. No explicit when-not-to-use or named-alternative routing versus siblings like get_breaking_changes, but the context is clear.

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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