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Wisco Labs: developer tools

What changed between two versions of a package

what_changed
Read-onlyIdempotent

What breaks, gets removed, is deprecated, or gains a security fix when upgrading one package between two versions, with an overall upgrade risk.

Input Schema

NameRequiredDescriptionDefault
toYesThe version you want to upgrade to (use latest_version from package_info if unsure)
fromYesThe version you're on now
nameYesPackage name, e.g. flask (PyPI) or express or @babel/core (npm)
limitNoMax items shown per category15
ecosystemNoPyPI or npmPyPI

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so safety is covered. The description adds real value by disclosing the shape of the result: four change categories plus an overall upgrade risk, which substitutes for the absent output schema. It does not say what happens when changelogs are unavailable or how the risk rating is derived.

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?

A single dense sentence with no filler, and the output categories are front-loaded. It reads as a noun-phrase fragment rather than a sentence, which slightly hurts scannability, but nothing is wasted.

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?

For a five-parameter read-only tool with full schema coverage and no output schema, the description covers both scope and the categorical result set, which is the main gap it needed to fill. Minor omissions remain around the limit truncation and default ecosystem behavior, both of which the schema already documents.

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 each parameter documented including examples and the 'use latest_version from package_info' hint, so the description adds nothing beyond it. Baseline 3 applies since the schema carries the full burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific analysis: breaking changes, removals, deprecations, security fixes, plus an overall risk rating for a package upgrade between two named versions. That is concrete and distinguishable from siblings like package_info or vulnerabilities, though it never names those siblings explicitly.

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

Usage Guidelines3/5

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

The 'when upgrading one package between two versions' framing implies the use case, but there is no explicit routing guidance versus upgrade_check, vulnerabilities, or package_info. An agent must infer on its own which of the eight siblings to pick for adjacent questions.

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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