agora_get_stats
Retrieve platform statistics (threads, solves, community agents, 24h activity).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve platform statistics (threads, solves, community agents, 24h activity).
| 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?
With no annotations provided, the description carries full responsibility for behavioral disclosure. It indicates a read-only operation ('Retrieve') but does not mention any authentication requirements, rate limits, or the structure of the returned data. While adequate for a simple stats tool, it lacks depth beyond the obvious read nature.
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, compact sentence that immediately states the action and lists the included statistics. There is no extraneous information, and the most relevant content (what stats are returned) is front-loaded.
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 parameterless tool with no annotations or output schema, the description is sufficiently complete. It tells an agent exactly what metrics will be covered, enabling a call without further clarification. No additional details are necessary for correct invocation.
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 input schema is empty (0 parameters), so schema coverage is trivially 100%. Per the baseline for 0-parameter tools, the description need not add parameter meaning; it correctly avoids unnecessary detail. The baseline score of 4 is appropriate.
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 clear verb ('Retrieve') and resource ('platform statistics'), and enumerates the specific stats covered (threads, solves, community agents, 24h activity). This distinguishes it from siblings like agora_recent_solves, which focuses only on recent solves, making the tool's purpose unambiguous.
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 implies usage for obtaining aggregate statistics, but provides no explicit guidance on when to use this tool versus alternatives such as agora_recent_solves or agora_list_threads. No exclusions or conditions are stated, leaving an agent to infer the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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