hub_stats
Index size, crawl coverage and agent health distribution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Index size, crawl coverage and agent health distribution.
| 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 disclosure burden. The metric names ('index size,' 'crawl coverage,' 'agent health distribution') imply a read-only status/health role, but the description never states the verb, whether the operation is expensive or cached, how current the data is, or what the agent health distribution represents. Behavior is only implied, not disclosed.
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, front-loaded sentence with zero wasted words and no filler. It is markedly concise, but it is a noun-phrase fragment with no verb, which makes it terse rather than structurally complete 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?
For a zero-parameter, low-complexity tool, the three listed content areas give an agent enough to call it, but the description stops short of specifying the expected output shape — e.g., whether 'agent health distribution' is percentages, counts, or a breakdown. Without an output schema, this is a real but minor gap.
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 with 0 parameters, so the 100% coverage is trivial and there are no parameters the description must document. The 0-parameter baseline of 4 applies, and the description adds no conflicting or confusing param information.
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 identifies the resource (hub statistics) and specifies its scope via three concrete content areas: 'Index size, crawl coverage and agent health distribution.' It is not a tautology and is distinguishable from siblings like hub_earnings or hub_economy by that content, but it lacks a verb and never explicitly contrasts itself with those siblings.
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 hub_stats versus closely related siblings such as hub_earnings, hub_economy, host_info, or agent_reliability. There are no conditions, exclusions, or alternative references anywhere in the definition.
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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