Skip to main content
Glama
industrial-aiops

OT-AIops Energy

baseline_status

Read-only

Retrieve baseline status for a tag, or list all tracked tags (max 100) from the local store. Statuses include ok, violation, learning, or no_baseline, without guessing or device I/O.

Instructions

[READ][risk=low] Baseline status for one tag, or a bounded listing of all.

Read from the local store only (no history scan, no device I/O) and never
guesses: 'no_baseline' (nothing learned, no refused attempt), 'learning'
(last learn refused — still accumulating history), 'ok' (band learned, last
check clean), 'violation' (last check flagged a sustained excursion). With
no tag, lists every tracked tag (bounded to 100 entries).

Args:
    tag: Optional tag name; omit to list all tracked tags.

Returns dict: {tag, status, band?, baseline_window?, changes_recorded?, ...}
    for one tag, or {tracked_tags, listed, truncated, tags:[...]} for all.

Example: baseline_status(tag="line1.temp").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNo
Behavior5/5

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

The description goes well beyond the annotations by explaining the exact status values ('no_baseline', 'learning', 'ok', 'violation'), that it never guesses, reads only from local store, and lists are bounded to 100 entries. It also describes the return shapes for both one-tag and all-tag cases. No contradiction with readOnlyHint=true.

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 well-structured with a clear header, a concise explanation of behavior, an Args section, a Returns section, and an example. Every sentence contributes useful information without redundancy or fluff.

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?

Given the single optional parameter and no output schema, the description is fully complete. It covers input, output shape, status meanings, listing behavior, bounded entries, and provides an example invocation. No important information is missing for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides only the parameter name 'tag' with a default of null, but no description. The description explains that the tag is optional and omitting it lists all tracked tags. It also clarifies how the parameter affects the return value, adding meaning beyond the schema.

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 that this tool returns baseline status for one tag or a bounded listing of all tags. It uses a specific verb ('status') and resource ('baseline'), and distinguishes itself from sibling tools by emphasizing read-only local store access and no device I/O.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context that this is a read-only status query operating only on the local store with no history scan or device I/O. It does not explicitly mention alternatives or when-not-to-use, but the context is sufficient to know when it is appropriate.

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

Install Server

Other Tools

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/industrial-aiops/industrial-aiops-energy'

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