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memory_consolidate

Consolidate high-importance episodic memories into a semantic graph to preserve key knowledge for long-term access.

Instructions

Promote high-importance episodic items into semantic graph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_levelNoepisodic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does not state whether consolidation is destructive (e.g., removes episodic items), irreversible, or whether it requires certain permissions. The return value or side effects are not described.

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 concise sentence that directly states the tool's action. Every word adds value, and there is no redundant information.

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 low complexity (one optional parameter, no nested objects) and the presence of an output schema, the description is mostly adequate. However, a mutation tool that does not disclose side effects or failure modes leaves some completeness gaps.

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 has only one parameter ('from_level') with a default value but 0% description coverage. The description implies the parameter's purpose via 'from_level' mapping to 'episodic' items, adding meaning beyond the bare schema. For a nearly trivial single-param tool, this is sufficient.

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 uses a specific verb-resource pair ('Promote ... items into ... graph') and distinguishes the core action from siblings like memory_write or memory_read. However, the term 'semantic graph' may be jargon without further context.

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 like memory_write or when items should be consolidated. There are no prerequisites or exclusions mentioned, leaving the agent to guess the proper invocation context.

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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