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thruk-mcp

by k9fr4n

thruk_top_noisy_services

Lists services with the highest alert counts in a given time range, enabling quick identification of problematic services for focused remediation.

Instructions

Return the top N services ranked by SERVICE ALERT count over a time window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
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.
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.
group_byNoAggregation dimension: 'service' (default, one row per host+service), 'host' (rolled up per host), 'hostgroup' or 'servicegroup' (ventilation par client).service
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the core behavior (returns top services by alert count over time) but omits details like whether it is read-only, permissions required, or how alerts are counted. No contradiction exists.

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?

A single, concise sentence that is front-loaded with the key action and result. No unnecessary words or repetition.

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 tool has 6 parameters and no output schema, the description is too sparse. It does not explain the meaning of 'alert count', the format of results, or how filtering works. The schema provides detailed parameter descriptions, but the tool's overall purpose and output are under-specified.

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 83% (high), so the description adds little beyond the schema. It hints at the 'limit', 'since', 'until' parameters but does not elaborate on their semantics or provide examples beyond what the schema already offers.

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?

The description clearly states it returns the top N services ranked by SERVICE ALERT count over a time window. It uses a specific verb ('return') and resource ('top N services'), and explicitly mentions ranking and time window, distinguishing it from sibling tools like thruk_top_noisy_hosts.

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 or thruk_top_noisy_hosts. Lacks context about prerequisites or typical use cases, leaving the agent to infer based solely on the tool name and sibling list.

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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