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Glama

hive status

get_status
Read-onlyIdempotent

Check whether the hive desktop app is running and inspect the open project, object counts, camera, visible board area, and current selection. Use this first; when offline, only read operations work.

Instructions

Start here. Returns whether hive is running, the open project (name, folder), object counts, the camera and the visible board area (board units) and the current selection. When hive is closed the result has offline:true and only read tools work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered; the description adds genuine behavioral context by disclosing that the result carries offline:true when hive is closed and that only read tools function in that state. It adds no auth or rate-limit detail, but for a status probe that is not needed.

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?

Front-loads the "Start here" cue, then packs the return payload and the offline condition into two tight sentences with no filler. Every clause carries information an agent needs.

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?

There is no output schema, so the description carries the burden of describing return values, and it enumerates the returned fields explicitly. Combined with the offline-state caveat, an agent has everything needed to call it and interpret the result.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to clarify and the baseline of 4 applies.

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?

States a specific verb+resource and enumerates exactly what is returned (running state, open project name/folder, object counts, camera, board area, selection). This is clearly distinguishable from every sibling, which are all mutation or list tools.

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?

"Start here" gives an explicit entry-point directive, and the offline note tells the agent that write tools are unavailable when hive is closed. It stops short of naming alternative tools or explicit exclusions, but the context is clear.

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