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Dianel555

Gemini SuperClaude MCP Server

by Dianel555

sc:reflect

Analyze your session performance and cognitive patterns with meta-reflection. Use flags to examine decisions, patterns, improvements, or learning outcomes, guided by a Socratic mentor or root-cause analyst.

Instructions

Meta-cognitive reflection and performance analysis (Category: session, Priority: RECOMMENDED)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesSuperClaude v4.0.9 command input with optional flags: --decision, --pattern, --improvement, --learning
flagsNoAvailable flags: --decision, --pattern, --improvement, --learning
agentNoPreferred agent: socratic-mentor, root-cause-analyst
Behavior2/5

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

With no annotations, the description fully bears the burden of behavioral disclosure, but it only gives a high-level purpose. It does not explain whether the tool modifies state, is read-only, or requires prior context. The flags and agent parameters hint at functionality, but behavior remains opaque.

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

Conciseness3/5

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

The description is very short (one sentence), which is concise but lacks necessary detail. It is front-loaded with the purpose, but the brevity sacrifices completeness. It could include more context without being wordy.

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 the tool has three parameters and no output schema, the description should explain what the return value or outcome is. It does not mention what the tool produces after reflection, leaving a significant gap. The description is not complete enough for effective use.

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 coverage is 100%, so the schema already documents each parameter. The description reinforces that it involves reflection but adds no new semantic details beyond the schema's own descriptions. The baseline is 3, and the description does not improve it.

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 it is for 'meta-cognitive reflection and performance analysis', which gives a specific purpose. However, it does not differentiate from sibling tools like sc:analyze or sc:improve, which could have overlapping functionality.

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 provided on when to use this tool versus alternatives. The description does not indicate context, prerequisites, or when not to use it, leaving the agent without direction for tool selection.

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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