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report_narrative_signals

Identify podling issues from reports: latest and recurring issues, low mentor sign-off, and release visibility mismatches.

Instructions

Return report-derived narrative signals such as latest reported issues, recurring issues, low observed mentor sign-off, and release visibility mismatches.

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_signalsNoOptional report narrative signal filters
Behavior2/5

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

No annotations are provided, so the description fully bears the burden of behavioral disclosure. It does not state whether the tool makes network requests, requires authentication, or is read-only. It only mentions returning signals, which implies a read operation but leaves ambiguity.

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 that front-loads the purpose. It is concise and lists examples efficiently. Minor improvement could be a more structured list, but overall it is well-sized.

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 parameters, no output schema, and many sibling tools, the description is too brief. It does not explain return format, how signals are computed, or how to combine parameters. Essential context for effective use is missing.

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% (all 9 parameters have descriptions). The description adds no extra meaning beyond listing output examples; it does not explain how parameters affect the result. Baseline score of 3 is appropriate since schema already covers 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?

The description clearly states the tool returns report-derived narrative signals and lists specific examples (latest reported issues, recurring issues, etc.). This is a specific verb-resource combination that distinguishes it from siblings like reporting_gaps or reporting_reliability.

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?

The description provides no guidance on when to use this tool versus alternatives such as reporting_gaps or community_health_summary. It does not specify prerequisites, context, or exclusions.

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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