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MCP Health Check

health
Read-onlyIdempotent

Check the MCP server's operational status, including cascade mode, rate-limiter usage, and cache size, to diagnose failed or empty searches.

Instructions

MCP server status: cascade mode + transitions, rate-limiter usage, cache size, config. Call this if searches start failing or returning empty -- check cascade.totalCaptchas and rateLimiter.queueSize, and reduce search volume if they are high.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
poolNo
cacheNo
errorNo
configNo
cascadeNo
versionNo
telemetryNo
rateLimiterNo
selfHealingNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds valuable context by naming specific fields to inspect (cascade.totalCaptchas, rateLimiter.queueSize), which helps the agent understand what the status output contains and how to interpret it. No contradiction with 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?

The description is two sentences: the first front-loads the status categories, and the second gives targeted diagnostic trigger and interpretation guidance. Every sentence earns its place with no redundancy or filler.

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?

For a zero-parameter, read-only tool with an output schema, the description covers purpose, when to use it, and how to act on results. It is fully sufficient for an agent to select and invoke the tool correctly without needing additional documentation.

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 has zero parameters, and the description correctly avoids discussing any. Per the rubric, a zero-parameter tool gets a baseline of 4 because there is no parameter semantics to clarify.

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 clearly identifies the tool as a status/health check for the MCP server and lists specific components (cascade mode, rate-limiter, cache, config). It is distinguishable from sibling search/extract tools by focusing on server diagnostics. However, it lacks an explicit verb like 'returns' or 'checks', making it slightly less direct.

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 states when to call the tool: 'Call this if searches start failing or returning empty'. It also provides actionable follow-up advice about reducing search volume. However, it does not explicitly mention when not to use it or name alternative tools, so it falls short of a 5.

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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