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justinmclean

Podlings MCP

by justinmclean

completion_rate_over_time

Calculate yearly completion rate of Apache podlings by dividing completed outcomes by active population. Filter by sponsor type (incubator, project, unknown) and year range to analyze incubation trends.

Instructions

Return yearly completion rate using completed outcomes divided by active population.

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 provided; description lacks behavioral details such as side effects, data freshness, permissions, or behavior under missing data. Only states what it returns.

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?

Single sentence, no redundant information, very concise and to the point.

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?

No output schema, but description fails to indicate return format (e.g., percentage, list per year) or any important context about the calculation or data source.

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 3 applies. Description does not add extra meaning beyond the schema for parameters.

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?

Clearly states it returns yearly completion rate, specifies formula (completed outcomes divided by active population), and differentiates from sibling tools like completion_count_over_time or graduation_rate_over_time.

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 or not use this tool, no comparison with sibling tools, and no prerequisites mentioned.

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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