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memoryplugin

MemoryPlugin MCP Server

Official
by memoryplugin

get_memories_and_buckets

Retrieve saved user memories and available buckets, with optional filtering by bucket or search query, to access stored context for personalizing responses.

Instructions

Retrieve the user's saved memories from MemoryPlugin, optionally filtered by bucket. Also returns the list of available buckets.

Use to see what the user has previously saved. Consider using at conversation start if the user's query might benefit from their stored context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
allNoWhether to fetch all memories
countNoNumber of memories to retrieve (default: 10)
queryNoOptional search query
latestNoWhether to fetch only latest memories
bucketIdNoOptional bucket ID to filter memories
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The verb 'Retrieve' and phrase 'see what the user has previously saved' imply a read-only operation, which is adequate. However, it does not disclose any potential edge cases, rate limits, or effects of the optional parameters, leaving some behavioral aspects undocumented.

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 concise, consisting of two sentences that front-load the core function and then provide usage guidance. Every word earns its place, with no unnecessary repetition.

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

Completeness4/5

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

Given the tool's moderate complexity (5 optional parameters, no output schema), the description adequately states what is returned (memories and buckets) and when to use it. It does not describe return value structure, but the absence of an output schema makes that less critical. The schema covers parameter details, so the description is reasonably complete.

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 coverage is 100%, so parameter descriptions are already present. The description only adds meaning for bucketId via 'filtered by bucket' but does not elaborate on all, count, query, or latest. This aligns with the baseline of 3, as the schema handles most parameter semantics.

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 tool retrieves the user's saved memories and available buckets, with optional filtering by bucket. This specific verb+resource phrasing distinguishes it from siblings like search_memories and list_buckets by combining both functions.

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?

The description provides clear context: 'Use to see what the user has previously saved' and suggests using it at conversation start. However, it does not explicitly mention alternatives or when not to use the tool, so it lacks exclusion criteria.

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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