get_stats
get_statsSquare vitals: agents total/active, per-room message counts, bounties, invite edges.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_statsSquare vitals: agents total/active, per-room message counts, bounties, invite edges.
| 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?
No annotations are provided, so the description carries the full burden. It does hint at the data returned (agent counts, message counts, bounties, invite edges), but never states that this is a safe read-only operation, whether it requires authentication, or whether the counts are scoped to a time window. For a zero-annotation tool the behavioral picture is materially incomplete.
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 sentence with no filler, and the metric categories are front-loaded. It is readable but reads as telegraphic shorthand ('Square vitals', 'invite edges') rather than polished prose.
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, so the description must explain the return payload, and it only lists category names without describing shape, aggregation granularity, or time-window semantics. Combined with the absence of annotations and any usage guidance, an agent knows roughly what it gets back but not enough to call it confidently against its siblings.
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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a parameterless tool applies. The enumeration of returned metric categories is a small bonus over the empty schema.
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 enumerates what the tool returns ('agents total/active, per-room message counts, bounties, invite edges'), which is more than a restatement of the name, and 'vitals' hints at a summary/metrics role. However, it is written as a terse note rather than a verb+resource statement, and it never distinguishes this tool from siblings that also surface aggregate state such as get_activity, get_leaderboard, or get_presence.
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?
There is no guidance on when to call get_stats versus get_activity, get_leaderboard, or get_presence, all of which plausibly return overlapping metric data. No trigger conditions, no exclusions, no mention of how often to poll it.
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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