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web_diff_bundle_releases

Compare two web releases to detect changed JavaScript chunks, added or removed API endpoints, routes, and UI components, then generate visual regression and breaking-change reports.

Instructions

Compares two client web releases (local directories or live URLs), detecting changed JavaScript chunks, deleted/added API endpoints, client routes, UI components, and generating visual regression and breaking change reports.

Input Schema

NameRequiredDescriptionDefault
outputDirNoTarget directory for reports (default: ./bundle_diff_report)
baseTargetYesBaseline release target (local directory path or URL)
currentTargetYesCurrent release target (local directory path or URL)
generateHtmlReportNoGenerate interactive standalone drift_visualizer.html (default: true)
generateJsonManifestNoGenerate machine-readable drift_manifest.json (default: true)
generateMarkdownReportNoGenerate comprehensive DRIFT_REPORT.md (default: true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.13.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden: it discloses that reports are generated (visual regression and breaking change), which hints at filesystem writes, but omits whether live URL targets require auth/network access, cost or timing implications, and whether output artifacts are overwritten in outputDir.

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 front-loaded sentence that packs the operation, inputs, and output artifacts without filler. It is dense but readable; slightly long as one sentence but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-parameter, multi-artifact tool with no annotations and no output schema, the description defines the analysis scope well but leaves gaps: what the returned result looks like (paths vs. summary), behavior when targets are unreachable, and any side effects on an existing output directory.

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%, so all six parameters already have documented semantics and defaults. The description's parenthetical '(local directories or live URLs)' corroborates baseTarget/currentTarget but adds no format, constraint, or interaction detail beyond the schema.

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?

States a specific verb ('compares') and resource ('two client web releases') plus the artifacts it derives (chunks, endpoints, routes, components, reports). An agent can tell this apart from siblings like web_decompile_bundles or web_analyze_app_state, though it doesn't name 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?

Usage is implied by the requirement of two targets (baseline + current), but the description never states when to use this versus web_decompile_bundles, web_audit_api_catalog, or web_analyze_app_state, nor any prerequisites such as access to a live URL.

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