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n24q02m

Mnemo - Persistent AI Memory

consolidate_memories

Reduce redundancy by summarizing similar memories within a category. Clean up closely related entries to maintain an organized memory store.

Instructions

Summarize similar memories in a category (requires LLM API keys).

ACTION GUIDE — when to use:

  • Use when a category has too many redundant or closely related memories and needs cleanup. Example: category='preference'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations indicate non-read-only and non-destructive. The description adds the LLM API key requirement, but does not detail the exact behavioral impact (e.g., whether original memories are deleted or kept). More transparency on the mutation process would improve the score.

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 very concise: two short sentences plus a bullet point. It front-loads the purpose and the prerequisite (LLM keys). No unnecessary text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one parameter, an output schema (exists), and annotations, the description covers purpose, usage, and a key prerequisite. However, it does not address potential failure modes, reversibility, or what happens to the original memories. It is adequate but not fully comprehensive.

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

Parameters2/5

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

Schema coverage is 0%, and the description barely compensates. The 'category' parameter is not described beyond its name, though the usage guide provides an example value ('preference'). No description of format, constraints, or allowed values.

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 clearly states the verb 'Summarize' and resource 'memories' with a scope 'in a category'. It distinguishes from siblings like add_memory, delete_memory, and list_memories by specifying a consolidation 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 a 'when to use' section with an explicit condition: 'when a category has too many redundant or closely related memories'. Gives an example. Does not include when not to use or alternatives, but the guidance is clear.

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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