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Logs Syslogsink

logs_syslogsink

Ingest JSON syslog messages into LibreNMS syslog storage via API sink. Accepts a single object or an array for batch ingestion to centralize network logs.

Instructions

Add a syslog entry to LibreNMS via API sink.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesJSON syslog message(s) to ingest into LibreNMS syslog storage. Accepts a single object or an array of objects.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.9.0

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already indicate this is not read-only, not idempotent, and not destructive, so the core behavioral profile is partially covered. However, the description itself adds little beyond those annotations: it does not explain duplicate-handling behavior, rate limits, or what happens on invalid payloads.

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, front-loaded sentence with no filler. It states the essential operation clearly and does not waste words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple single-parameter tool with a detailed schema description and an output schema present. The description covers the core operation, and the schema covers payload semantics, leaving no major missing piece for a straightforward API sink call.

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 already provides 100% coverage for the single payload parameter, including that it accepts a single object or an array. The tool description does not repeat or add parameter-level detail, so baseline 3 is appropriate.

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 identifies the action ('Add') and the resource ('syslog entry to LibreNMS via API sink'), making the operation easy to grasp. It does not explicitly differentiate from sibling logs_syslog, but the 'sink' terminology and 'entry' suggest ingestion rather than retrieval.

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?

There is no guidance about when to use this tool versus alternatives like logs_syslog or logs_eventlog. The description implies it is for ingesting syslog entries, but it does not state exclusions, prerequisites, or when a sibling tool would be more appropriate.

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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