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Mnemosyne MCP

Mnemosyne MCP

by zhadyz
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

add_observations

Add new observations to existing entities in your knowledge graph, enriching memory with additional facts and notes.

Instructions

Add new observations to existing entities in your Memento MCP knowledge graph memory

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "observations": "<observations>"
    },
    "name": "add_observations"
  }
}

Input Schema

NameRequiredDescriptionDefault
metadataNoDefault metadata for all observations
strengthNoDefault strength value (0.0 to 1.0) for all observations
confidenceNoDefault confidence level (0.0 to 1.0) for all observations
observationsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.2

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, but it only restates the core action. It does not disclose behavior around non-existent entities, overwriting, errors, or side effects, leaving significant gaps for a mutation tool.

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, front-loaded sentence with no filler or redundant content. It communicates the essential purpose efficiently.

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?

Despite a moderately rich schema, the tool has no annotations or output schema, and the description is too terse. It omits behavioral context (e.g., what happens if an entity doesn't exist, whether defaults apply) and return semantics, making it incomplete for a nested mutation tool.

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 75%, and the schema already documents parameters like entityName, contents, metadata, strength, and confidence. The description adds no extra parameter-level nuance, but the schema provides enough meaning to warrant a baseline 3.

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 uses a specific verb ('Add') and resource ('observations to existing entities'), clearly distinguishing it from sibling tools like create_entities or delete_observations. It also scopes the operation to existing entities, which is helpful.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'to existing entities' implies this is for attaching observations to already-created entities, but it does not explicitly mention alternatives or when not to use it. No exclusions or alternative tool names are given.

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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