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FeatureBoard MCP Server

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Drift evaluation report

drift_report
Read-only

Aggregate drift run results: per-ticket scores, mean fidelity, verdict counts, drift rate, and a 95% Wilson confidence interval for samples. Lists flagged tickets worst-first with gaps and any pending tickets.

Instructions

Aggregate a drift run: per-ticket scores, mean fidelity, verdict counts, drift rate, and — for sampling — a 95% Wilson confidence interval on the true drift fraction extrapolated to the whole Done population. Lists the flagged (partial/drift) tickets worst-first with their gaps, and any pending (unscored) tickets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdNoDefaults to the latest run.
projectYes
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description adds valuable context: output includes confidence intervals, worst-first ordering, and pending ticket listing. No contradictions.

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 concise sentence packing all key details: aggregation, metrics, confidence interval, listing behavior. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description thoroughly explains what the report contains. It could mention prerequisites (e.g., a drift run must exist) or usage context, but it's largely complete.

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

Parameters2/5

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

Schema coverage is 50% (only runId described), but the description adds no param details. The description does not compensate for the missing parameter description for 'project'.

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 it 'aggregate a drift run' and specifies detailed outputs (per-ticket scores, mean fidelity, etc.), distinguishing it from siblings like drift_start and drift_record.

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?

No explicit when-to-use or alternatives are mentioned, but the context implies it is used after a drift run to get a report. The sibling list includes other drift tools, so usage is inferable but not explicit.

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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