snn_reset
Reset the spiking neural network simulation to its initial state, clearing all ongoing processes and configurations for a fresh start.
Instructions
Reset SNN Engine
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Reset the spiking neural network simulation to its initial state, clearing all ongoing processes and configurations for a fresh start.
Reset SNN Engine
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility. It merely states 'Reset SNN Engine' without disclosing what reset entails (e.g., state, parameters, simulation), or whether it is destructive or reversible.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise (2 words) but at the expense of necessary detail. The description is under-specified for a reset operation, lacking behavioral context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
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 the tool's side effects and return value. It fails to do so, leaving the agent without critical context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has no parameters, and schema coverage is 100%. The description does not add parameter-level detail, but none is required. Baseline for 0 parameters is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the verb 'Reset' and resource 'SNN Engine', making the basic purpose clear. However, it does not differentiate from sibling tools like tcai_reset or clarify scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 (e.g., tcai_reset, simulation_control). The description provides no context for appropriate use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/christophejlegros-lgtm/ASTRA-Unified-ResearchLab-MCP-v2.6'
If you have feedback or need assistance with the MCP directory API, please join our Discord server