getMaintenanceLogs
Fetch factory maintenance logs and history to review past repairs and schedule preventive maintenance.
Instructions
Get factory maintenance logs and history
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Fetch factory maintenance logs and history to review past repairs and schedule preventive maintenance.
Get factory maintenance logs and history
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 disclosing behavior. However, it only states the purpose and gives no information about whether this is a read-only operation, what the return format looks like, or any side effects or permissions required. This is a significant gap for a tool with no structured annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no fluff or redundant information. It is appropriately sized and front-loaded with the action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple no-parameter tool, the description is minimally adequate, but it could provide more context such as what the maintenance logs contain, whether it returns a list or summary, or how it relates to other monitoring tools. Without an output schema, the description should at least hint at the return value, which it does not.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there are no parameter semantics to explain. The schema coverage is 100% (empty schema), and per the baseline for 0-parameter tools, a score of 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get factory maintenance logs and history', using a specific verb ('Get') and a distinct resource ('factory maintenance logs and history') that differentiates it from sibling tools like getMachineStatus or getInventory. It is unambiguous in what it does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 does not mention any context, prerequisites, or exclusions, so the agent has to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Heytish-V/factory-supervisor-mcp'
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