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mateusdata

prometheus-mcp-server

by mateusdata

range-query

Execute Prometheus range queries to retrieve time-series data over specified time intervals using PromQL expressions, start/end timestamps, and step resolution.

Instructions

Execute a range Prometheus query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesPromQL query expression
startYesStart timestamp (RFC3339 or Unix timestamp)
endYesEnd timestamp (RFC3339 or Unix timestamp)
stepYesQuery resolution step width (e.g. '15s', '1m', '1h')
timeoutNoEvaluation timeout (e.g. '30s')
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but only states the basic action. It doesn't mention whether this is a read-only operation, potential side effects, authentication requirements, rate limits, or error handling. For a query execution tool with zero annotation coverage, this leaves significant behavioral gaps.

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 and front-loaded, making it easy for an agent to parse quickly.

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?

For a tool with 5 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what a 'range' query entails versus instant queries, what format the results return, or any behavioral context needed for proper invocation. The agent would need to infer too much from the minimal description.

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?

The schema description coverage is 100%, so all parameters are documented in the schema itself. The description adds no additional parameter semantics beyond what's already in the schema descriptions, maintaining the baseline score for high schema coverage.

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 ('Execute') and resource ('range Prometheus query'), making the purpose immediately understandable. However, it doesn't distinguish this from sibling tools like 'instant-query' or 'context-prometheus', which would require explicit differentiation for a perfect score.

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 like 'instant-query' or other Prometheus-related siblings. There's no mention of specific use cases, prerequisites, or exclusions, leaving the agent without contextual direction for tool 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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