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get_prometheus_labels

Retrieve all label names from a Prometheus datasource to identify available metrics and dimensions for querying and analysis.

Instructions

Get all label names from a Prometheus datasource

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasourceUidYesThe Prometheus datasource UID
startNoStart time (RFC3339 or Unix timestamp)
endNoEnd time (RFC3339 or Unix timestamp)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states it 'gets' data but doesn't describe what format the results come in, whether there are rate limits, authentication requirements, or any side effects. For a read operation with zero annotation coverage, this leaves significant behavioral questions unanswered.

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?

The description is a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a straightforward data retrieval tool and gets directly to the point.

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?

For a read-only tool with good schema coverage but no annotations or output schema, the description is minimally adequate. It states what the tool does but doesn't provide important context about return format, error conditions, or usage scenarios. The combination of description and schema covers the basics but leaves gaps in behavioral understanding.

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 the schema already documents all three parameters. The description doesn't add any additional context about parameter usage beyond what's in the schema descriptions. The baseline of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get') and resource ('all label names from a Prometheus datasource'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'get_prometheus_label_values' or 'get_prometheus_series', but the specificity of 'label names' provides some implicit distinction.

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 is provided on when to use this tool versus alternatives like 'get_prometheus_label_values' (which gets values for a specific label) or 'get_loki_labels' (for Loki datasources). The description only states what it does, not when it's appropriate or what prerequisites might exist.

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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