Skip to main content
Glama

get_app_status

Check whether a launched app is healthy by reporting process liveness, exit code, bridge responsiveness, and modal-dialog blockage.

Instructions

Report combined health of a launched app: whether the process is alive, its exit code, whether the bridge responds, and whether the main thread is likely blocked by a modal dialog (process alive but bridge unresponsive).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pidNoApp pid from launch_app. Omit to target the last launched app. Required only when several apps are running and you need a specific one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It does disclose a genuinely subtle behavior — inferring modal-dialog blocking from 'process alive but bridge unresponsive' — which is valuable. However, it does not disclose edge-case behavior such as invalid pid handling, what happens when no app has been launched, or whether the bridge check times out.

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?

A single well-structured sentence that front-loads the core purpose ('Report combined health') and then appends a parenthetical clarification of the trickiest signal. Every clause earns its place; there is no filler or repetition of schema content.

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?

The tool is low-complexity (one optional, fully documented parameter) and has an output schema, so return-value documentation burden is lifted. The description covers the semantic meaning of each reported signal. The only notable gap is the lack of guidance distinguishing this from get_app_state, which keeps it from a 5.

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?

Schema coverage is 100% and the pid parameter's schema description is rich ('App pid from launch_app. Omit to target the last launched app...'), so the description need not add parameter detail. It does not, but per the high-coverage baseline this is acceptable. The description adds nothing about the parameter beyond the schema, so a baseline 3 is correct.

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 uses a specific verb ('Report') with a concrete resource ('combined health of a launched app') and enumerates exactly what is reported: process liveness, exit code, bridge responsiveness, and modal-dialog blocking. This explicit scope clearly distinguishes it from siblings like get_logs and get_app_output by content.

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

Usage Guidelines3/5

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

The use case is implied by the description — it is clearly the diagnostic health-check tool — but there is no explicit when-to-use/when-not-to-use guidance. In particular, no attempt is made to differentiate it from the closely named sibling get_app_state, which could create selection ambiguity for an agent.

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/com55/pyside6-mcp'

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