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justinmclean

Apache Health MCP

by justinmclean

query_metric_rankings

Rank Apache Incubator podlings by specific health metrics within defined time periods to analyze project performance trends.

Instructions

Rank podlings by one parsed metric for a specific window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool performs ranking, which implies a read-only operation, but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, returns paginated results, or what the output format looks like. This is inadequate for a tool with zero annotation coverage.

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 a single, efficient sentence that front-loads the core purpose ('Rank podlings') and adds necessary qualifiers ('by one parsed metric for a specific window') without any wasted words. It's appropriately sized for the tool's complexity.

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

Completeness2/5

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

Given no annotations, no output schema, and 0 parameters, the description is incomplete. It lacks details on behavioral aspects like authentication needs, rate limits, or output format, and doesn't clarify how it differs from siblings. For a ranking tool with no structured data, this leaves significant gaps for an AI agent.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds context by specifying 'by one parsed metric for a specific window', which implies inputs might be inferred from context or defaults, but since there are no parameters, a baseline of 4 is appropriate as it doesn't need to compensate for gaps.

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

Purpose3/5

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

The description states the tool 'Rank podlings by one parsed metric for a specific window', which provides a clear verb ('Rank'), resource ('podlings'), and scope ('by one parsed metric for a specific window'). However, it doesn't explicitly differentiate from siblings like 'get_window_metrics' or 'list_podlings', leaving ambiguity about when to use this versus those alternatives.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description mentions ranking by a metric for a window, but it doesn't specify prerequisites, exclusions, or compare it to siblings such as 'get_window_metrics' or 'list_podlings', leaving the agent to infer usage context.

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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