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Glama

sportiq-mcp

sportiq_health

Read-onlyIdempotent

Report cache backend, per-adapter healthcheck, and quota status.

Returns: HealthReport-shaped dict with cache_backend, cache_ok, adapters (per-source ok/detail), and quotas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds useful context by specifying the report shape and the per-adapter detail, which goes beyond what the annotations alone convey. No contradictions exist.

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 with the core purpose, then provides a structured return summary. Every sentence adds value and there is no redundant or promotional text.

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 zero parameters, a present output schema, and annotations covering safety semantics, the description is complete for invoking this tool correctly. It names the key output fields and the overall report shape, which is sufficient for an agent to know what to expect.

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, and the baseline for no-parameter tools is 4. There is no parameter detail needed, and the description does not need to compensate for undocumented inputs.

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 uses the specific verb 'Report' and names three concrete resources: cache backend, per-adapter healthcheck, and quota status. It is clearly distinct from the sibling sports-data tools, as it targets system health rather than sport-specific content.

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 clearly establishes that this tool is for health and quota reporting, and no sibling tool competes for that role. It does not explicitly state when not to use it, but the context is unambiguous given the tool's unique purpose.

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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