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dq-tier-status

Compare today's overall score per scope against configurable Tier SLA targets and report meeting versus missing counts.

Instructions

Compare today's overall_score per scope against Tier SLA targets (defaults Tier 1 99.5 / 2 99.0 / 3 95.0; override via DBT_SLA_CONFIG_PATH yaml or DQ_TIER1_TARGET_PCT) and report meeting vs missing counts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoISO date (YYYY-MM-DD) to check, default = today
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
fallbackMaxDaysNous-all schema only: when the cutoff date has no row, walk back to the most recent prior row only if it is within this many days. Beyond the limit, score/meeting are returned null with a stale note instead of silently passing SLA with stale data. Default 2.
Behavior4/5

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

No annotations provided, but the description explains the main behavior (comparison, default targets, override options, fallback for missing rows). It does not mention read-only nature or side effects, but these are implied.

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 that is front-loaded and concise, containing all key information without wasted words.

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

Completeness3/5

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

Adequate for a simple tool with 3 parameters and no output schema, but lacks details about return format or structure. Could be improved by briefly describing the output.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. Description adds meaningful context beyond field descriptions, such as explaining the fallback logic for fallbackMaxDays and default behavior for date.

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 the verb (compare/report) and resource (today's overall_score per scope against Tier SLA targets). Distinguishes from siblings like dbt-sla-status by focusing on tier-specific SLA compliance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear context for when to use: comparing scores against tier SLA targets with defaults and override methods. Does not explicitly exclude alternatives or specify when-not-to-use, but the context is sufficient.

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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