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diagnose

Runtime + theme + settings harmony check. Free-text symptom (e.g., 'cart drawer feels slow', 'badges not appearing') OR kit-scoped check. Returns categorized issues (theme_compat / settings_conflict / runtime_error / a11y / performance) with severity and optional fix_plan_id callable via execute(). health_score 0-100.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kitNo
deepNoRun full theme compat sweep (slower)
symptomNo

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses return structure (categorized issues, severity, fix_plan_id, health_score), notes that fix_plan_id is callable via execute(), and implies a read-only diagnostic behavior. However, it does not clarify whether the check has side effects or how the deep parameter affects execution, though the schema provides 'slower'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, information-dense paragraph with no fluff. Each sentence contributes: what it does, usage modes, return categories, and scoring. It is well-structured and front-loaded with the core purpose.

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, the description adequately explains return values (categorized issues, severity, fix_plan_id, health_score). It could be more explicit about parameter combinations (e.g., what happens if both symptom and kit are provided, or neither) and the 'execute()' reference is ambiguous without cross-tool context, but overall it is nearly complete for a diagnostic tool.

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

Parameters4/5

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

The schema covers only 33% of parameters (deep has a description). The description compensates by explaining 'symptom' (free-text) and 'kit' (scoped check), and implicitly that these are alternative modes. It does not add detail on 'deep' beyond the schema's 'slower', but overall the description provides meaning for the two primary parameters.

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?

The description states a specific diagnostic purpose: 'Runtime + theme + settings harmony check' with concrete examples like 'cart drawer feels slow'. It clearly distinguishes itself from siblings (browse, explain, plan, recommend) by focusing on issue detection and providing categorized results (theme_compat, settings_conflict, etc.).

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

Usage Guidelines4/5

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

The description gives clear usage context: free-text symptom OR kit-scoped check, with examples. It does not explicitly mention when not to use it or point to alternatives, but the two modes cover the primary scenarios and the sibling names imply different purposes.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: browse catalogs, diagnose issues, explain plans/settings, generate plans from intent, and provide recommendations. While plan and recommend both generate plans, their inputs and use cases are explicitly separated (direct intent vs. proactive scenarios), eliminating ambiguity.

Naming Consistency5/5

All tool names are single imperative verbs (browse, diagnose, explain, plan, recommend), following a uniform and predictable naming pattern. There is no mixing of conventions or stylistic inconsistencies.

Tool Count5/5

With 5 tools, the server is well-scoped for its purpose as a planning and recommendation engine. Each tool earns its place, covering discovery, diagnostics, explanation, and planning without unnecessary bloat.

Completeness2/5

The tool set references critical preview/execute operations (preview() and execute()) that are not exposed as tools, leaving a dead end where plans cannot be applied. Additionally, there is no way to fetch full details for a specific catalog item beyond the paged browse results, making the workflow incomplete.

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