nanomem_stats
Retrieve the current memory vault size and document count to assess storage capacity and data volume.
Instructions
Return current memory vault size and document count.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the current memory vault size and document count to assess storage capacity and data volume.
Return current memory vault size and document count.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior. It clearly states it returns size and count, implying a read-only operation with no side effects. It doesn't mention performance or error conditions, but for a simple stats call, the description is sufficient.
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?
A single, front-loaded sentence that conveys all necessary information without waste. It directly states the output and resource.
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?
For a tool with no parameters and no output schema, the description fully specifies what the agent will receive (size and count). There is no missing information required to invoke it correctly.
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 zero parameters, so the description does not need to explain any. Per guidelines, the baseline is 4, and the description adds no parameter-related confusion.
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 a specific verb ('Return') and resource ('memory vault') with explicit outputs ('size and document count'). It is clearly distinct from sibling tools like nanomem_add or nanomem_search, which perform different operations.
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 context is clear: this tool is for retrieving vault statistics, and no alternative tool does this. However, it does not explicitly mention when to use it versus siblings, though the uniqueness of the operation makes it obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.