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check_deprecation

Read-onlyIdempotent

Check whether a specific Canton/Daml toolchain item (CLI, SDK package, or command: e.g. daml-assistant, Navigator, dpm) is deprecated. Canton-specific. Not a general npm/pip deprecation checker. ALWAYS call before recommending any Canton tool or package to a developer. Accepts either one name or a block of prose: given prose it reports every deprecated item mentioned in it. Returns DEPRECATED (with replacement), CURRENT, or NOT_FOUND.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesTool/package/command to check, e.g. "daml-assistant", "Navigator", "dpm", "canton sandbox". A longer block of text (a forum post, a draft answer) is scanned for every deprecated item it mentions.

Schema Changelog

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

  1. Changed2 schema fields changed
    • changedInput schema / properties / name / description
      Previous value: -"Tool/package/command to check, e.g. \"daml-assistant\", \"Navigator\", \"dpm\", \"canton sandbox\"."New value: +"Tool/package/command to check, e.g. \"daml-assistant\", \"Navigator\", \"dpm\", \"canton sandbox\". A longer block of text (a forum post, a draft answer) is scanned for every deprecated item it mentions."
    • addedInput schema / properties / name / minLength
      Added value: +2
  2. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Beyond annotations, the description discloses input flexibility (single name or prose block), that it scans prose for every deprecated item, and the three possible return values (DEPRECATED with replacement, CURRENT, NOT_FOUND). This adds substantial behavioral context beyond the read-only/idempotent hints.

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?

The description is compact and front-loaded, with each sentence adding distinct value: scope, examples, exclusions, usage directive, input flexibility, and return behavior. No wasted words.

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?

Despite having no output schema, the description covers return values, input modes, scope, and usage, making it fully self-sufficient for a one-parameter tool.

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?

The schema already documents the 'name' parameter, but the description adds that a longer block of text is accepted and scanned for deprecated items, enriching parameter semantics 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 checks whether a Canton/Daml toolchain item is deprecated, with specific examples (daml-assistant, Navigator, dpm). It explicitly distinguishes from a general deprecation checker, making the purpose unambiguous.

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 instructs 'ALWAYS call before recommending any Canton tool or package,' and clarifies it's Canton-specific, not for npm/pip. This gives clear when-to-use guidance and exclusions.

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.