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hebbian-mind-enterprise

hebbian-mind-enterprise

by For-Sunny
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

save_to_mind

Save content to Hebbian Mind to trigger automatic node activation and Hebbian edge strengthening.

Instructions

Save content to Hebbian Mind with automatic node activation and Hebbian edge strengthening.

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": {
      "content": "<content>"
    },
    "name": "save_to_mind"
  }
}

Input Schema

NameRequiredDescriptionDefault
sourceNoSource identifier (default: HEBBIAN_MIND)
contentYesContent to save
summaryNoOptional summary
importanceNoImportance 0-1 (default: 0.5)
emotional_intensityNoEmotional intensity 0-1 (default: 0.5)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.3.2

TDQS

B3.4/5.0
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 behavior. It mentions 'automatic node activation and Hebbian edge strengthening' but does not detail side effects, idempotency, permissions, or return behavior. This leaves significant gaps for an agent.

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, 12 words, no fluff. Front-loaded with the action and resource. Every word earns its place.

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 no output schema and no annotations, the description should explain what the tool returns (e.g., confirmation, node ID) and how the automatic activation works. It lacks completeness for a 5-parameter write 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 100%, so each parameter is documented. The description adds no additional parameter-specific meaning beyond the schema (e.g., format constraints, defaults). 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 uses specific verb 'save' and resource 'Hebbian Mind', clearly indicating it is a write operation. Distinguishes from sibling tools like query_mind and list_nodes which are read-oriented.

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 description implies usage for saving content to the mind, but provides no explicit guidance on when to use vs alternatives, when not to use, or prerequisites. Sibling tools suggest reading/querying, but the description does not clarify this distinction.

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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