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k9fr4n

thruk-mcp

by k9fr4n

thruk_alert_heatmap

Count alerts grouped by time buckets over a configurable window. Filter by host, hostgroup, service, or custom variable to analyze alert patterns.

Instructions

Return alert counts grouped by time bucket over a window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoStart of analysis window. Thruk relative time ("-2h", "-7d") or ISO datetime ("2026-05-21 14:00:00"). Default: last 24 h.-24h
untilNoEnd of the time window (same formats as since). Default: now.
bucketNoTime bucket width: '15m', '30m', '1h' (default), '6h', '1d'.1h
filterNoStructured filter tree supporting AND/OR nesting. Two node types: leaf: {"type":"leaf", "field":"...", "op":"...", "value":...} group: {"type":"group", "operator":"and"|"or", "conditions":[...]} Available fields: custom_var, host, hostgroup, service Operators: eq, gte, in, lte, neq, regex Examples: # Objects in HG_AGILE: {"type":"leaf","field":"hostgroup","op":"eq","value":"HG_AGILE"} # In HG_AGILE OR with KERNEL=windows: {"type":"group","operator":"or","conditions":[ {"type":"leaf","field":"hostgroup","op":"eq","value":"HG_AGILE"}, {"type":"leaf","field":"custom_var","op":"eq","value":{"var":"KERNEL","val":"windows"}} ]}
backendsNoComma-separated backend names (sites). Omit for all backends.
Behavior2/5

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

No annotations are provided, and the description is too brief to disclose behavioral traits such as idempotency, rate limits, or what happens with empty results. The description carries the full burden but only states the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that efficiently conveys the core functionality. It earns its place without unnecessary words, though it could benefit from slight expansion.

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?

Given the lack of an output schema, the description should explain the return format (e.g., array of objects with time bucket and count). The current description is too vague, leaving the agent to guess the output structure.

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 coverage is 100%, so baseline is 3. The description adds minimal meaning beyond the schema (e.g., 'time bucket' and 'window' map to parameters), but the schema already provides detailed descriptions for all parameters, including the filter structure.

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 returns alert counts grouped by time bucket over a window, using specific verbs and resources. However, it does not differentiate from sibling tools like thruk_list_alerts or thruk_notification_heatmap.

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 on when to use this tool versus alternatives such as thruk_list_alerts for raw alerts or thruk_notification_heatmap for notification counts. There is no mention of prerequisites or context.

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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