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AleBrito124356

mcp-memory-vault

Remember a fact

remember
Idempotent

Stores facts in persistent memory so they survive across sessions, with namespaces, tags, duplicate detection, and optional expiry. Use it to keep user preferences, project decisions, or follow-ups.

Instructions

Store a fact in persistent memory so it survives across sessions.

Use this whenever you learn something worth keeping: user preferences, project decisions, environment quirks, follow-ups. Exact duplicates (same content in the same namespace) are never stored twice: the existing memory is returned with "deduplicated": true, and any new tags are merged into it (listed in "merged_tags"). Tags are case-insensitive.

Returns the stored memory (id, content, namespace, tags, timestamps) plus "deduplicated", "merged_tags" and a human-readable "message".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoOptional short labels for filtering, e.g. ["customer", "deploy"].
sourceNoOptional provenance, e.g. "user message" or "ticket #123".
contentYesThe fact to remember, as one self-contained sentence that names its subject.
ttl_daysNoDays until the memory expires; 0 = never expires.
namespaceNoLogical bucket, e.g. one per project or user.default

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already declare idempotentHint=true and destructiveHint=false; the description adds genuinely new behavior: exact duplicates in the same namespace are never double-stored, the existing memory is returned with deduplicated=true, new tags are merged and reported in merged_tags, and tags are case-insensitive. This is exactly the extra context annotations cannot carry, and it is consistent with them.

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?

Front-loaded with the core action, then trigger guidance, then edge-case semantics, then return shape. Every sentence earns its place, though the return-value paragraph is slightly verbose given it repeats field names that the caller can discover at runtime.

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

Completeness5/5

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

There is no output schema, so the description correctly takes on the burden of describing the response (id, content, namespace, tags, timestamps, deduplicated, merged_tags, message). Combined with dedup, namespace scoping, and tag case rules, an agent has everything needed to call and interpret this write tool.

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?

Schema coverage is 100%, so the baseline is 3, but the description adds meaning the schema does not: dedup is scoped to 'same content in the same namespace' (clarifying namespace semantics) and tags are case-insensitive with merge behavior on duplicates. No syntax or format gaps remain.

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?

States a specific verb and resource: 'Store a fact in persistent memory', with the scope qualifier 'so it survives across sessions'. It is clearly distinguishable from retrieval siblings like recall in spirit, but it never names an alternative explicitly, so it stops short of a 5.

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?

'Use this whenever you learn something worth keeping' plus concrete examples (user preferences, project decisions, environment quirks, follow-ups) gives a clear trigger. It omits any when-not guidance or named alternative (update_memory, forget), which keeps it out of 5 territory.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.