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get_health_summary

Returns aggregate health statistics for web components: average score, grade distribution, library trend, and identifies components needing attention (score below 70).

Instructions

Returns aggregate health statistics for all components: average score, grade distribution, total count, library-wide trend, per-dimension averages, and components needing attention (score below 70).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
libraryIdNoOptional library ID to target a specific loaded library instead of the default.
libraryRootNoOptional absolute path to the consuming library root. When provided, source-level evidence (focus-visible, attachInternals, forced-colors) feeds the multi-dim scoring. Omit for CDN-loaded libraries — source-dependent dims return unknown rather than being contaminated by unrelated workspace files.
Behavior2/5

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

No annotations provided; description does not disclose safety, performance, or prerequisites beyond the return value. Does not mention read-only nature or dependency on loaded library.

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?

Single sentence efficiently lists all returned statistics but could be improved by breaking into bullet points for clarity.

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 no output schema, description adequately defines return values. Lacks mention of prerequisites like library loading, but context from sibling tools implies it.

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 already covers both parameters with descriptions (100% coverage). Tool description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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?

Clear verb 'Returns aggregate health statistics' and specific resources listed, distinguishing it from siblings like get_health_diff or get_health_trend.

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?

No explicit when-to-use or when-not-to-use guidance, but the return type implies it's for an overall health overview. Context from sibling names suggests differentiation but not stated in description.

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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