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ipmc_watchlist

Identifies Apache Incubator podlings requiring IPMC attention by analyzing lifecycle and health signals.

Instructions

Return podlings that most need IPMC attention based on combined lifecycle and health signals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
podlings_sourceNoOptional HTTPS URL or local path for PodlingsMCP source data
health_sourceNoOptional local path for apache-health report Markdown files
report_sourceNoOptional local path for ReportMCP cached ASF Incubator report files
mail_sourceNoOptional local path for MailMCP cached ASF Incubator general-list message files
mail_api_baseNoOptional MailMCP/Pony Mail API base URL for live Incubator general-list release evidence
as_of_dateNoOptional YYYY-MM-DD date to evaluate data as of a specific day
limitNoOptional maximum number of results to return
severity_at_leastNoOptional minimum severity filter: low, medium, high, or critical
include_reasonsNoOptional watchlist reason filters
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the tool's purpose but does not disclose side effects, auth needs, rate limits, or details on how signals are combined. The description is adequate but minimal.

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?

The description is a single sentence with no fluff, making it very concise. However, it could benefit from a brief second sentence about usage context without becoming verbose.

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?

With 9 optional parameters, no output schema, and no annotations, the description is too sparse for the complexity. It does not explain what the returned data looks like, how the scoring works, or what constitutes 'IPMC attention', leaving significant gaps for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all parameters with detailed descriptions. The tool description does not add additional parameter-level meaning beyond what is already in the schema, so baseline 3 is appropriate.

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 states the action ('return'), the resource ('podlings'), and the specific criteria ('that most need IPMC attention based on combined lifecycle and health signals'). It distinguishes itself from sibling tools by focusing on a combined signals approach.

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 description implies usage for retrieving a prioritized list of podlings needing IPMC attention but does not explicitly state when to use it versus alternatives or provide any exclusions or contextual guidance.

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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