decision_health
Check the health of the internal decision engine to verify it is operating correctly before relying on its decisions.
Instructions
Health of the internal decision engine.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check the health of the internal decision engine to verify it is operating correctly before relying on its decisions.
Health of the internal decision engine.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, yet it says nothing about whether this is a read-only probe, what it measures, whether it is cheap or expensive, or what it returns. For a monitoring endpoint this is a substantial gap.
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?
It is a single short fragment with no padding, which satisfies conciseness, but it reads as an incomplete label rather than a front-loaded statement. Brevity here reflects under-specification as much as economy.
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?
Zero params and no output schema make this a simple tool, but the description never explains what the 'health' result represents or what an agent should do with it. The minimum context needed to invoke it purposefully is absent.
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 of 4 applies. No parameter-level information is missing.
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 phrase 'Health of the internal decision engine' is a noun fragment that essentially restates the tool name decision_health; it names no verb (check, get, report) and gives no sense of what 'health' means. It is closer to a tautology than a statement of what the tool does.
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 indication of when to call this versus the many sibling diagnostics such as cognitive_status, system_stats, or get_guardrails. An agent must guess at the trigger condition entirely.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.