Skip to main content
Glama
AlgoChains

AlgoChains MCP Server

Official
by AlgoChains

get_system_health

Read-onlyIdempotent

Audit trading system health: check bot process liveness, disk space, and health snapshot to triage SEV1 watchdog alerts.

Instructions

Run the trading-system-health audit: bot process/log liveness (with legacy log alias resolution), disk space on control-tower and home volumes, and optional health_snapshot.json. Use to triage SEV1 trading-system-health watchdog alerts without false inactive signals from stale cl_bot_live.log.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive. The description adds behavioral details like legacy log alias resolution and avoiding stale signals, which is useful context beyond the annotations.

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?

Two sentences with no wasted words. The first describes the action, the second gives usage guidance. Front-loaded with key information.

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?

With no parameters, rich annotations, and clear behavior description, the description is fully adequate. It covers purpose, usage, and special cases, leaving no ambiguity.

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

Parameters4/5

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

The input schema has no parameters, so there is nothing to document. Schema coverage is effectively 100%, and the description does not need to add parameter info. Baseline is high.

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 it runs a trading-system-health audit, listing specific checks (bot process/log liveness, disk space, optional health snapshot). It distinguishes from siblings by referencing SEV1 watchdog alerts and handling stale log files, making the tool's purpose very specific and differentiated.

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 explicitly says to use for triaging SEV1 trading-system-health watchdog alerts, providing clear context. It does not explicitly list when not to use or alternatives, but the specificity makes up for it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AlgoChains/algochains-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server