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engine_status

Probe the CHP decision engine's health and readiness, getting a snapshot of running status, exit code, and restart-backoff state without spawning Python. Optionally issue a live ping to warm or spawn the subprocess.

Instructions

Health/readiness probe for the CHP decision engine (Python subprocess). By default returns a cheap readiness snapshot (running, last exit code, restart-backoff state) WITHOUT spawning Python. Pass probe=true to also issue a live ping that warms/spawns the subprocess.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
probeNoIssue a live ping (spawns the subprocess). Default false.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses that the default mode does NOT spawn Python (a performance consideration), while probe=true will spawn/warm the subprocess. This is valuable behavioral context beyond what annotations would provide (none are provided). It clearly communicates the side effects of probe=true without any contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, concise, and front-loaded with the core purpose. Every sentence adds value: the first defines the tool, the second explains the parameter distinction and behavioral implications. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (one parameter, no output schema, no nested objects), the description is complete. It covers the default behavior, the alternative with probe=true, and the performance implication. There's no missing information that would prevent correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes the 'probe' parameter with 100% coverage, so the baseline is 3. The description adds context that probe=true issues a live ping and spawns the subprocess, but this largely reinforces what the schema says. It doesn't add new syntax or format details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool is a health/readiness probe for the CHP decision engine, distinguishing it from sibling tools that load contracts, list skills, or make decisions. It specifies the resource (CHP decision engine subprocess) and the action (health/readiness probe), making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the default behavior (cheap readiness snapshot without spawning Python) and when to use probe=true for a live ping. While it implies that probe=false is for quick checks and probe=true for when a live response is needed, it doesn't explicitly contrast with alternatives or state when not to use 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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