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justinmclean

Podlings MCP

by justinmclean

graduation_rate_over_time

Calculate yearly graduation and retirement counts for Apache Incubator podlings, with optional sponsor type and year filters, to analyze graduation rates over time.

Instructions

Return yearly graduation and retirement counts plus graduation rate based on podling end dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNoHTTPS URL or local path to podlings.xml
sponsor_typeNoOptional sponsor type filter, defaults to incubator: incubator, project, or unknown
start_yearNoOptional inclusive start year filter
end_yearNoOptional inclusive end year filter
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states returns based on end dates but does not disclose whether it is read-only, how missing data is handled, or any side effects. The behavior is implied but not explicit.

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?

Single sentence with 15 words, no wasted language. Very concise, but could be structured with more detail while maintaining brevity.

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 4 parameters, no output schema, and no annotations, the description is minimal. It does not explain calculations, define graduation rate, or clarify what happens without filters, leaving significant gaps for an 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 baseline is 3. The description adds context that results are 'based on podling end dates', which provides some meaning beyond schema descriptions, but does not elaborate on parameter usage.

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?

Description clearly states the tool returns yearly graduation and retirement counts plus graduation rate based on podling end dates. It uses a specific verb and resource, but does not explicitly distinguish from sibling tools like completion_rate_over_time, though the mention of retirement counts adds specificity.

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 on when to use this tool versus similar siblings or when not to use it. The description lacks any context about appropriate use cases or prerequisites.

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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