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Glama

health_check

Ping all registered trading venues to check connectivity and latency, returning per-venue status, latency, and error messages for failed connections. Use it to diagnose venue availability.

Instructions

Ping every registered venue on the server's network and return connectivity status and latency. Pacifica / Hyperliquid / Lighter / Aster / QFEX: REST ping (status = HTTP status, 0 = no response); every other venue: its public market-data read (status null). A failure carries its error message.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses the per-venue probing method (REST ping for specific venues, public market-data read for others), the meaning of status values (HTTP status, 0 = no response, null), and that failures carry error messages. It omits layering such as rate limits or side effects on the venues, but 'ping' plus explicit read semantics make the safety profile unambiguous.

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

Conciseness4/5

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

Front-loaded with the core action and result in the first sentence, then per-venue mechanics, then the failure case. The venue enumeration is dense but each clause conveys distinct behavior; only the five-name list is slightly heavier than necessary.

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

Completeness4/5

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

With no output schema and no annotations, the description must convey the return shape, and it does — connectivity status, latency, per-venue status semantics, and error payloads. For a zero-parameter diagnostic tool this is nearly sufficient, though it could note whether results are keyed by venue name.

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?

Zero parameters, so the baseline of 4 applies; there is no parameter surface for the description to explain or omit. Nothing in the prose misrepresents the empty input 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?

States a specific verb and resource — 'Ping every registered venue on the server's network and return connectivity status and latency' — and enumerates the exact venues covered. This clearly distinguishes it from all sibling tools, which fetch market data, balances, or execute trades.

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

Usage Guidelines3/5

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

The diagnostic intent is implied by the name and description, so an agent can infer it is for connectivity checks. However, there is no explicit statement of when to call it (e.g., before trading, on suspected outage) or how it relates to alternatives among the siblings.

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