PrivateDAO network_stats
network_statsPrivateDAO network_stats
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
network_statsPrivateDAO network_stats
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / propertiesAdded value: +{}Input schema / propertiesRemoved value: -{}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds no behavioral context beyond what annotations provide, such as response shape, scoping, or side-effect details.
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 extremely short but is an under-specified tautology rather than a concise, informative statement. No sentence earns its place because the only words repeat the tool name.
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?
There is no output schema, and the description provides no return-value or result semantics. Although the empty parameter schema and safety annotations make invocation safe, an agent cannot know what data will be returned or how to interpret it.
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 zero parameters and additionalProperties=false, so there is no parameter semantic burden. With no parameters, the description does not need to clarify parameter meaning.
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?
Tautological: description restates name/title.
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 gives no guidance on when to use this tool or when to prefer a sibling. It is not actively misleading, but it leaves all usage decisions to inference from the name alone.
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.