get_schema
Show what knowledge types exist in your twin, how many items of each type are stored, and the total knowledge base size.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Show what knowledge types exist in your twin, how many items of each type are stored, and the total knowledge base size.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnly and not destructive. The description adds value by specifying exactly what information is shown (types, counts, size), beyond the annotation flags.
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?
Single sentence is clear and efficient, with no redundant information.
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?
The description adequately covers purpose and output for this simple, parameterless tool. The lack of output schema is acceptable; the described return values are sufficient.
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?
With zero parameters, schema coverage is effectively 100%. The description does not need to clarify parameters, meeting the baseline of 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 clearly defines the tool's function: showing knowledge types, item counts, and total size. It distinguishes this metadata overview from sibling tools that manipulate or search actual knowledge content.
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?
Usage is implied (to see schema overview) but no explicit guidance on when to use vs alternatives like search_twin or get_by_type is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.