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agent_status

Read-only

Display autonomous learning loops including state, backlog, last pass, and RSS data. Optionally output JSON for structured consumption.

Instructions

Show autonomous learning loops with state, backlog, last pass, and RSS.

Set json_output=True for the same stable shape used by the menu-bar app. Always returns structuredContent (AgentStatusSnapshot); the text block is the JSON dump when json_output else the formatted summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refreshNo
json_outputNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
loopsNo
agentsNo
generated_atNo
total_rss_kbNo
total_rss_mbNo
running_countNo
recent_resultsNo
timed_out_countNo
ready_loop_countNo
enabled_loop_countNo
running_loop_countNo
Behavior4/5

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

Annotations indicate readOnlyHint=true. The description adds that it always returns structuredContent (AgentStatusSnapshot) and explains the text block behavior for both output formats, enriching transparency beyond the annotation.

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?

Description is concise, front-loaded with purpose, and contains no superfluous content. Every sentence adds value.

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?

Given the tool's simplicity and existence of output schema, the description adequately covers the return type and format. However, it misses explaining the refresh parameter, which is a gap.

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

Parameters2/5

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

Schema coverage is 0%. Description only explains json_output ('Set json_output=True for the same stable shape used by the menu-bar app') but does not explain refresh. Lacks full compensation for missing schema descriptions.

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 what the tool does: 'Show autonomous learning loops with state, backlog, last pass, and RSS.' This is specific and distinguishes it from sibling tools like 'live_status' or 'spawn_status'.

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?

Usage guidance is implied but not explicit. The description does not state when to use this tool versus alternatives, nor does it provide exclusions or prerequisites.

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

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