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get_latest_release

Read-onlyIdempotent

Get the single latest release (version tag, publish date, and GitHub release-notes link) for ONE NAMED Canton-ecosystem package: canton, daml, dpm, or splice. Canton-specific. Requires a package name as input. Use when the user names a specific package ("what's the latest daml release", "latest canton version"); use get_current_versions instead for a cross-package snapshot of all four at once or MainNet/TestNet deployment status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYesRepo or package name: "canton", "daml", "dpm", "splice", or a full owner/repo.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that it is Canton-specific, requires a package name, and returns specific fields (version tag, publish date, GitHub link). No contradictions. Could mention if package name is case-sensitive, but not critical.

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 concise sentences: first defines the tool's output and scope, second provides usage differentiation. No unnecessary words, high information density.

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?

Given the simple single parameter with complete schema description, and annotations covering read-only/idempotent safety, the description fully covers the tool's purpose, parameters, and usage. No output schema needed for this straightforward retrieval.

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?

Only one parameter with schema description. The description reinforces the required package name and lists the four valid values (canton, daml, dpm, splice), adding clarity beyond the schema which also suggests full owner/repo.

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 gets the single latest release (version tag, publish date, GitHub release-notes link) for one named Canton-ecosystem package, listing valid packages: canton, daml, dpm, splice. It distinguishes from the sibling tool get_current_versions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: when the user names a specific package, with examples. Also specifies when to use the alternative get_current_versions instead, providing clear usage boundaries.

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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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.