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hexingyuofficial

style-memory-mcp

Official

Distill recent style

distill_recent_style

Analyze recent messages to extract catchphrases, dialect markers, and stylistic quirks, then batch-apply them to update the style profile immediately.

Instructions

One-shot batched distillation: based on the user's recent ~10–20 messages, identify 3–7 signature expressions (catchphrases, sentence-final particles, structural quirks, etc.) and write them all at once. Treated as user-endorsed — each habit becomes active immediately if its content passes basic checks. Use sparingly: at conversation seed-time, or when the agent feels its style brief is too thin.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
habitsYes3–7 high-conviction observations distilled from recent conversation.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses batched, one-shot, uses recent messages, treats as user-endorsed, and immediate activation. However, it lacks detail on side effects (e.g., whether it replaces existing habits) and the 'basic checks' criteria.

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?

Description is two sentences plus a brief usage note, no wasted words, and front-loads key information about purpose and constraints.

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 low complexity (1 parameter, no output schema, no nested objects), description covers purpose, usage, behavioral effects, and constraints. It lacks explanation of return values but that is acceptable without output schema. Could be more detailed on 'basic checks'.

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 baseline is 3. Description adds no additional meaning beyond the schema; it mentions '3–7 signature expressions' but schema already defines array constraints and field descriptions.

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?

Description uses specific verb 'distill' with resource 'recent user messages' and output 'signature expressions'. It clearly distinguishes from siblings like 'observe_user_message' by being a batched one-shot operation.

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?

Provides explicit usage guidance ('Use sparingly: at conversation seed-time, or when the agent feels its style brief is too thin'), but does not explicitly mention when not to use or list alternative sibling tools.

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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