onto_clear
Clears all triples from the in-memory ontology store to reset the knowledge graph for fresh updates.
Instructions
Clear all triples from the in-memory ontology store
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Clears all triples from the in-memory ontology store to reset the knowledge graph for fresh updates.
Clear all triples from the in-memory ontology store
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description carries full burden. It clearly states the destructive action of clearing all triples, which implies irreversibility. However, it does not explicitly mention that the action is irreversible or whether it requires special permissions, leaving some behavioral context unclear.
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?
The description is a single sentence that is front-loaded and contains no superfluous information. Every word contributes meaning, meeting the conciseness standard.
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 the tool has no parameters, no output schema, and the action is straightforward, the description fully explains what the tool does. No additional context is necessary for completeness.
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 tool has no parameters, and the schema coverage is 100%. According to guidelines, zero parameters baseline is 4. No additional parameter info is needed.
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 uses a specific verb 'clear' and resource 'all triples from the in-memory ontology store', clearly distinguishing it from sibling tools like onto_validate or onto_query. There is no ambiguity or tautology.
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?
The description provides no guidance on when to use this tool versus alternatives, such as onto_rollback or onto_history, nor does it mention any prerequisites or exclusions. Given the many sibling tools, explicit usage context is missing.
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/fabio-rovai/open-ontologies'
If you have feedback or need assistance with the MCP directory API, please join our Discord server