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jefedeoro

JauMemory MCP Server

by jefedeoro

consolidate

Group similar memories by semantic similarity to form concise insights, reducing redundant entries and improving memory organization.

Instructions

Consolidate similar memories into insights based on semantic similarity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoPreview consolidation without making changes (default: false)
min_group_sizeNoMinimum number of memories to form a group (default: 2)
archive_originalsNoArchive original memories after consolidation (default: true)
similarity_thresholdNoMinimum similarity score to group memories (0.0-1.0, default: 0.7)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits, but it only states the high-level action. It does not explain side effects (e.g., whether original memories are archived, as indicated in the dry_run and archive_originals parameters), whether the tool creates new records or modifies existing ones, or what 'insights' entails. The schema parameters hint at behavior, but the description fails to surface this critical context for safe invocation.

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

Conciseness4/5

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

The description is a single sentence that directly states the tool's purpose with no extraneous words. It front-loads the core action. However, it could be improved by a second sentence covering critical behavioral context (e.g., 'Original memories are archived by default; use dry_run to preview') without losing conciseness.

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 no output schema and the description does not explain return values (e.g., the format of 'insights'), the agent cannot predict what the tool returns. Additionally, there is no information about prerequisites, required memory state, or how the tool interacts with other memory operations. For a consolidation tool that may irreversibly group originals, this lack of completeness is a significant gap.

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 description coverage is 100%, so the input schema already documents all four parameters with clear descriptions (dry_run, min_group_size, archive_originals, similarity_threshold). The tool description adds no additional meaning beyond the schema—it only mentions 'semantic similarity' which is already implied by the similarity_threshold parameter. As per guidelines, baseline 3 is appropriate when the schema handles parameter documentation well.

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 a specific verb ('Consolidate') and resource ('similar memories'), with the outcome ('into insights') and method ('based on semantic similarity'). This distinguishes it from sibling tools like 'consolidate_collection' (which works on collections) and 'remember'/'recall'/'forget' (which operate on individual memories), giving the agent a precise understanding of what the tool does.

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?

The description provides no explicit guidance on when to use this tool versus alternatives. There is no mention of exclusions (e.g., 'use for individual memories, not collections'), no comparison with the similar sibling 'consolidate_collection', and no context about prerequisites or scenarios that favor this tool over 'analyze' or other memory-grouping approaches. The agent must infer usage from the name alone.

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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