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reporting_reliability

Analyze podling reporting reliability over time, distinguishing isolated late reports from patterns of repeated late or missing submissions.

Instructions

Return objective reporting reliability patterns over time, separating one-off late reporting from repeated late or missing reporting.

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
podlingNoPodling name
limitNoOptional maximum number of results to return
include_categoriesNoOptional reporting reliability category filters
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It only mentions 'objective' patterns and separation of categories, but omits side effects, authentication needs, rate limits, or read-only status. The tool may mutate state, but it's unclear.

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, no fluff, but could be slightly more compact. Front-loaded with the core action.

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 9 optional parameters and no output schema, the description lacks completeness. It does not explain default behavior, return format, or how sources are combined, 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?

Input schema has 100% description coverage; the description does not add meaning beyond schema. Baseline of 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?

Description clearly states the tool returns 'objective reporting reliability patterns over time' and specifies it separates 'one-off late reporting from repeated late or missing reporting'. This distinguishes it from sibling tools like reporting_gaps or reporting_schedule.

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 alternatives like reporting_gaps or reporting_cohort. The description does not mention when not to use it or provide contextual cues for selection.

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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