stats
Get counts and current knowledge root of the fact-based memory store to verify data integrity and citation availability.
Instructions
Counts + current knowledge root.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get counts and current knowledge root of the fact-based memory store to verify data integrity and citation availability.
Counts + current knowledge root.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It only states return values but does not disclose read-only nature, side effects, or required permissions. Essential behavioral traits are missing.
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 concise (one sentence) but sacrifices clarity. It could be longer to explain what 'counts' means. It is not front-loaded with key 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?
Given no output schema and no parameters, the description must explain return format. It fails to specify what counts are, leaving the agent guessing. Incomplete for effective use.
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?
No parameters exist, so schema coverage is 100%. The description adds no parameter info, but baseline is high due to absence of parameters. No value lost.
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 'Counts + current knowledge root' names two pieces of return data but is vague about what counts (facts? nodes?). It partially distinguishes from sibling 'knowledge_root' by adding counts, but lacks specificity about the counts.
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 vs siblings like 'knowledge_root' or 'history'. The description does not mention prerequisites, exclusions, or alternative tools.
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/Mars-proj/verifiable-memory'
If you have feedback or need assistance with the MCP directory API, please join our Discord server