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webpack_analyze_bundle

Analyze Webpack bundles to uncover performance bottlenecks and receive targeted optimization suggestions for reducing bundle size.

Instructions

Analyze Webpack bundle and suggest optimizations (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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

With no annotations, the description must carry the behavioral burden. 'Analyze' implies a read-only inspection, and 'suggest optimizations' hints at advice output, but the description does not disclose whether it runs a build, requires a stats file, calls an external service, or modifies any files. The 'Pro feature' note is the only behavioral constraint provided.

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?

The description is a single, focused sentence with no filler. It front-loads the core purpose and includes the Pro limitation compactly. It is concise, though this comes at the cost of missing useful operational detail.

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

Completeness2/5

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

Given no output schema and no annotations, the description should explain what a suggestion looks like, what inputs are needed beyond directory, and whether api_key is required. It leaves an agent without enough context to know what output to expect or what will happen when the tool is invoked.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%: directory has a basic 'Project directory' description, but api_key is undocumented. The description does not explain that api_key is likely needed for the Pro feature or add any meaning beyond the schema. It does not fully compensate for the missing parameter documentation.

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 clearly states a specific action ('Analyze Webpack bundle') and outcome ('suggest optimizations'). It is not a tautology and is understandable on its own. However, it does not distinguish this tool from close siblings like bundle_optimize or webpack_add_optimization, so it misses sibling differentiation.

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

Usage Guidelines2/5

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

No guidance is given about when to choose this tool over alternatives such as bundle_analyze_size, bundle_find_heavy_deps, or webpack_add_optimization. The only contextual hint is 'Pro feature', but there is no stated condition, prerequisite, or exclusion.

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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