Skip to main content
Glama
openITCOCKPIT

openITCOCKPIT MCP Server

Official

Recent Log Entries

list_log_entries
Read-onlyIdempotent

Retrieves host and service alert log entries from the last specified hours, newest first. Resolves host and service names for each entry.

Instructions

Host and service alert log entries from the last hours hours, newest first.

Each entry resolves its host and service name, costing one extra API request per entry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursNoHow many hours back to look.
limitNoMaximum rows to return. Defaults to 50, maximum 500.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
hintNoHow to narrow the query when truncated.
countYesNumber of rows in `items`.
itemsYesThe rows, at most `limit` of them.
truncatedYesTrue if openITCOCKPIT held more rows than were returned.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior5/5

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

Beyond the annotations, the description discloses a meaningful behavioral trait: every returned entry resolves host/service names at the cost of one extra API request per entry. It also specifies newest-first ordering. This is exactly the kind of cost and side-effect context an agent needs; no contradiction with annotations.

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?

Two sentences with no filler: the first states the resource, window, and ordering; the second states the cost caveat. Information is front-loaded and every sentence earns its place.

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

Completeness5/5

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

For a simple read-only list operation, the description covers what is returned, the time window, ordering, and an important performance cost. The output schema and annotations handle the remaining return-value and safety details, so nothing critical is missing.

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 input schema already describes both parameters fully (100% coverage), so the description does not need to carry the parameter documentation burden. It reinforces the meaning of `hours` but adds no semantics beyond the schema.

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 identifies the resource ('host and service alert log entries'), the lookback window, and ordering, which makes the tool's purpose clear. It lacks an explicit verb like 'list' or 'retrieve,' and it does not directly contrast with sibling tools, so it stops short of a 5.

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 on when to choose this tool over sibling list tools such as list_host_checks or list_service_state_changes. The temporal window implies use for recent history, but no exclusions, alternatives, or selection criteria are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/openITCOCKPIT/openITCOCKPIT-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server