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mcp_engram_track_user

Track user interactions via 90/10 EMA superposition to model geometric drift of intent within a persistent user model.

Instructions

Track a user interaction in the persistent Rooster User Model (Phase E.4). Applies a 90/10 EMA superposition to track geometric drift of user intent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
interactionYesThe interaction text to track
Behavior3/5

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

No annotations, so description must cover behavior. It mentions the EMA superposition and geometric drift, giving some algorithmic insight, but does not disclose side effects, safety, or output format.

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?

Two sentences, 29 words, no fluff. Every sentence adds value, and it is front-loaded with the key action.

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?

Adequate for a simple tool with one parameter and no output schema. It explains the purpose and algorithm, though it could mention what the tool returns or if it has side effects.

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% and the schema already describes the single parameter. The description adds no extra meaning beyond what the schema provides, so baseline 3.

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 clearly states it tracks user interactions and applies a 90/10 EMA to track geometric drift, specifying the model phase. It distinguishes from siblings like 'remember' or 'forget' by focusing on the user model.

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 alternatives provided. The usage is implied for tracking user interactions, but no guidance on when to choose this over similar tools like mcp_engram_remember.

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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