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Glama

health_check

Check service health by reporting version and whether required diagnostic binaries are present, returning healthy or degraded status for consistent monitoring.

Instructions

Service health: version and which wrapped binaries are present on PATH.

Returns a fixed shape (status/service/version + backend fields) so a monitoring caller never has to branch on missing keys. status is "healthy" when every wrapped binary is found, "degraded" when at least one is missing (the corresponding tools will fail at call time).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does well by explaining the fixed return shape and the exact healthy/degraded semantics. It also tells the caller that missing binaries mean corresponding tools will fail at call time, which is valuable behavioral context.

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 compact and front-loaded: the first sentence states the core purpose, and the second paragraph adds the crucial return-shape and status semantics without any filler. Every sentence contributes useful information.

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?

For a zero-parameter, no-output-schema tool, the description is fairly complete: it names the top-level return fields and explains status values. The main gap is that 'backend fields' are not enumerated, but the overall behavior is still clear enough for an agent to invoke the tool correctly.

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?

There are zero parameters, so the baseline is 4. The input schema already documents this completely, and the description confirms no inputs are needed, which is sufficient.

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 identifies a specific resource (service health) and the operation: reporting version and which wrapped binaries are present on PATH. It also differentiates this tool from the network-diagnostic siblings by framing it as a meta/service-level check rather than a network operation.

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 intended use is implied: a monitoring caller should use this to check service health without branching on missing keys. However, it does not explicitly say when to prefer this over sibling tools or state any exclusions, leaving the guidance somewhat indirect.

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