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Jau-app

JauMemory MCP Server

Official
by Jau-app

consolidate

Merge similar memories into actionable insights by analyzing semantic similarity, with adjustable thresholds, group sizes, and a preview option.

Instructions

Consolidate similar memories into insights based on semantic similarity

Input Schema

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

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

No annotations exist, so the description must fully disclose behavior. It mentions consolidation into insights but fails to note that originals are archived by default (destructive), nor does it explain the dry-run preview. Safety-critical details are missing.

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?

Single sentence that efficiently conveys the core purpose. No extraneous 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?

For a tool with 4 parameters and no output schema, the description lacks detail on return values, effects of dry_run, and what 'insights' implies. These gaps reduce completeness.

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?

All parameters have descriptions in the schema (100% coverage). The tool description adds no additional context beyond the schema, thus baseline 3 applies.

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 'consolidate', the resource 'similar memories', and the basis 'semantic similarity'. It effectively distinguishes from siblings like 'consolidate_collection' and 'recall'.

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 on when to use this tool versus alternatives is provided. The sibling list is extensive, but the description does not mention contexts or exclusions.

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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