Skip to main content
Glama
4DA-Systems

@4da/mcp-server

Official

Upgrade impact

upgrade_impact
Read-only

Check what changes between an installed dependency and a target version before upgrading: breaking changes, deprecations, security fixes, and files that import it.

Instructions

What changes between the installed version of ONE dependency and a target version: changelog entries per release, breaking changes, deprecations, security fixes, and the files in this project that import it. Call before upgrading or bumping a dependency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYesPackage name exactly as published (npm: `zod`, `@scope/pkg`; crates.io: `fastembed`).
ecosystemNoRegistry. Default: inferred from the project's dependencies (required when the name exists in both).
to_versionNoTarget version. Default: the highest stable version on the registry.
from_versionNoCurrent version. Default: the version this project's lockfile resolves.
response_formatNoconcise (default): every breaking/deprecation/security entry plus up to 3 others per version. detailed: all entries, capped at 400.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv6.0.1

TDQS

A4/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so safety and network behavior are already covered. The description adds that it consults the registry for changelog data, but doesn't mention caching, latency, or handling of missing/unpublished versions. With annotations doing the heavy lifting, this is adequate but not rich.

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, front-loaded with the core purpose and followed by the call trigger. No filler; every clause carries information.

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 annotations cover safety and open-world behavior, and the schema fully documents all five parameters, the description supplies the output contract and a usage trigger. It is nearly complete, though it doesn't address result size or error cases when the package/version isn't found.

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 description coverage is 100%, with clear descriptions for all five parameters including defaults and enum semantics. The description adds no parameter detail beyond naming what the tool returns, so baseline 3 is correct.

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+resource: what changes between installed and target version of one dependency. Enumerates the outputs (changelog entries, breaking changes, deprecations, security fixes, importer files), which distinguishes it clearly from siblings like vulnerability_scan or dependency_health.

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?

Explicitly says 'Call before upgrading or bumping a dependency,' which gives a clear when-to-use. However, it doesn't distinguish itself from upgrade_planner, the closest sibling, nor state when another tool is preferable.

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