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show_running_queries

Monitor active queries on a CockroachDB cluster by filtering by node ID, user, or query duration. Quickly identify and manage current database operations.

Instructions

Show currently running queries on the cluster.

Args: node_id (int): Node ID to filter (default: 1). user (str): Username to filter (default: 'root'). min_duration (str): Minimum query duration (default: '1:0', format: 'minutes:seconds').

Returns: The queries running on the cluster.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_durationNo1:0
node_idNo
userNoroot
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool shows running queries but lacks details on permissions needed, rate limits, whether it's read-only or has side effects, or how results are formatted. This is inadequate for a tool that interacts with cluster data.

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 well-structured and appropriately sized, with a clear purpose statement followed by parameter details and return information. Every sentence adds value, and it's front-loaded with the main functionality, making it efficient and easy to parse.

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?

Given the tool's moderate complexity (3 parameters, no annotations, no output schema), the description is partially complete. It covers parameters well but lacks behavioral context and output details. It's adequate as a minimum viable description but has clear gaps in usage and transparency.

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?

The description adds significant value beyond the input schema, which has 0% description coverage. It explains each parameter's purpose, default values, and format for 'min_duration,' compensating well for the schema's lack of documentation. However, it doesn't clarify edge cases or parameter interactions.

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 tool's purpose with 'Show currently running queries on the cluster,' which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'get_query_history' or 'analyze_performance,' which might also involve query monitoring, so it doesn't fully distinguish from alternatives.

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. It doesn't mention sibling tools like 'get_query_history' for past queries or 'analyze_performance' for deeper analysis, leaving the agent to infer usage context without explicit direction.

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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