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bundle_optimize

Generate a bundle optimization plan with specific code changes to reduce bundle size and improve performance. Analyzes package.json, build config, and imports for actionable recommendations.

Instructions

Generate a comprehensive bundle optimization plan with specific code changes (Pro)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
build_configNoBuild configuration (webpack.config.js, vite.config.ts, etc.)
package_jsonYespackage.json content
source_importsNoImport statements from source files for tree-shaking analysis
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior, but it only promises a 'plan with specific code changes'. It does not state whether the tool is read-only, whether it applies changes directly, whether it requires a Pro account beyond the parenthetical, or what the output format is.

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 with no filler words. It is compact and readable, but the brevity comes at the cost of omitting usage and behavioral details.

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?

Despite having a 4-parameter schema and no output schema, the description gives no guidance on expected output shape, authentication, or which parameters to prioritize beyond package_json being required. For a tool with sibling analysis tools, this is insufficient context for reliable selection and invocation.

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?

The input schema already describes all four parameters with 100% coverage, so the baseline is 3. The description adds nothing about how api_key, build_config, package_json, or source_imports interact with the generated plan, but it doesn't need to compensate.

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 states a clear verb ('Generate') and resource ('bundle optimization plan'), and adds value with 'specific code changes' and '(Pro)' to indicate an actionable, perhaps premium, deliverable. It does not, however, name sibling tools or explicitly distinguish itself from bundle_analyze_size or bundle_find_heavy_deps, so it stops short of perfect clarity.

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?

There is no mention of when to use this tool over alternatives such as bundle_analyze_size or webpack_optimize, nor any indication of prerequisites (e.g., needing package.json vs build_config). An agent must infer the use case solely from the name and schema.

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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