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Glama

Health & freshness check

get_health

Check operational health, source freshness (live, cached, stale), feature flags, queue depth, moderation stats, and configuration notices to monitor system status.

Instructions

Operational status: enabled sources with honest freshness (live / cached / stale — MEME never claims real-time coverage it cannot guarantee), feature flags, queue depth, moderation stats and configuration notices.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_health"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full behavioral burden and does add meaningful context: it discloses the live/cached/stale freshness vocabulary and the 'never claims real-time coverage it cannot guarantee' guarantee, plus the categories of state returned. It does not state that the call is read-only, nor mention auth or rate-limit behavior, so it is strong but not complete.

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?

It is a single front-loaded sentence beginning with 'Operational status,' followed by a compact list of contents. The parenthetical about honest freshness is slightly editorial, but it earns its place by clarifying the freshness semantics.

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 status tool with no output schema, the description is nearly sufficient: it names every category of information returned and explains the freshness labels. It leaves the response shape and any permission requirements unstated, which is the main remaining gap.

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 tool takes zero parameters, so there is no parameter meaning to add; the baseline for a parameterless schema applies. Nothing in the description misdescribes inputs.

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

Purpose4/5

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

The description opens with a specific resource, 'Operational status,' and enumerates what it reports: enabled sources, freshness, feature flags, queue depth, moderation stats and configuration notices. That is clearly distinguishable from cost, compliance or meme-content siblings, though it never explicitly names an alternative tool to contrast with.

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?

Usage is only implied by the contents: an agent can infer this is the tool for checking source health, freshness and queue/configuration state. There is no explicit when-to-use or when-not-to-use guidance, and no routing away from siblings such as get_metrics or get_compliance.

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