Skip to main content
Glama

canton-ccpedia

by io.github.UnityNodes

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

TableJSON 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. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, indicating a safe read-only operation. The description adds behavioral context by listing specific reported items (e.g., below minimum, releases behind, next topology freeze times), which goes beyond the annotations without contradicting them.

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 description is two sentences, the first being a bit long but packed with information. It is front-loaded with the main verb and resource. Could be slightly more concise, but it earns its content.

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?

Given no output schema, the description compensates by listing specific output fields (minimum in force, releases behind, topology freeze, LSU times, min dar versions, breaking changes). This provides sufficient context for the agent to understand what the tool returns.

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 parameters are already documented. The description adds extra meaning: for 'version', it clarifies 'Omit to get the schedule without a verdict', and for 'environment', it ties to the network context. This adds value 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?

The description clearly states the tool's purpose: 'Upgrade Copilot for a Canton validator', specifying the verb (report/upgrade copilot) and resource (Canton validator upgrade status). It lists specific outputs and distinguishes itself as Canton-specific, differentiating from sibling tools.

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 explicitly provides usage examples: 'Use when an operator asks 'am I safe to skip this week?', 'what breaks if I upgrade?', or 'when is my next deadline?''. This gives clear context. It does not explicitly mention when not to use, but the examples are sufficiently directed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All canton-ccpedia toolsInspect
Try in Browser
RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.7/5.0
Disambiguation2/5

Many tools have overlapping search/retrieval functionality (search, semantic_search, full_context, search_community, search_github_issues, etc.), and the CIP-specific variants (get_cip, get_cip_history, get_cip_votes, get_cip_mentions, get_cip_citations) are numerous and subtly differentiated. Despite cross-references in the descriptions, the boundaries are fine-grained and an agent is likely to misselect among the 8+ search tools or the 8+ CIP tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (get_x, list_x, search_x, find_x). Mixed styles or camelCase are absent, and the verb choice (get, list, search, find, detect, compare) is semantically appropriate to each action, making the naming highly predictable.

Tool Count1/5

With 88 tools, the surface is extremely overgrown for a single server, far exceeding the 25+ 'too many' threshold and approaching the 50+ 'extreme mismatch' category. Even for a comprehensive ecosystem knowledge base, this creates a massive selection burden and makes the tool set unwieldy for agents.

Completeness5/5

The server covers the full Canton ecosystem: docs, forum, mailing lists, GitHub, CIPs, governance, validators, versions, deprecations, security, and media. There are no glaring gaps in the knowledge domain; every major resource type has retrieval and analysis tools, making the coverage exhaustive with no obvious dead ends.

Resources