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Nexus-Digital-Automations

Claude Code MCP - Agent Orchestration Platform

get_session_status

Check the current status of a Claude Code agent orchestration session, including active agents and their states, to monitor collaborative AI development workflows.

Instructions

Get the current status of a session and its agents.

Returns comprehensive status information about the session including all active agents and their current state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the tool returns 'comprehensive status information' but doesn't specify what that includes (e.g., agent states, session metadata, timestamps) or behavioral traits like error handling, performance characteristics, or authentication requirements. The description is too vague for a mutation-free tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized with two sentences that are front-loaded: the first states the core purpose, and the second elaborates on the return value. There's minimal redundancy, though it could be slightly more efficient by combining ideas.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (status retrieval with one parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't explain the return structure, error conditions, or parameter details, leaving significant gaps for an AI agent to use the tool effectively.

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 description coverage is 0%, so the description must compensate for undocumented parameters. It doesn't mention the session_id parameter at all, leaving its purpose, format, or sourcing unclear. The description adds no semantic value beyond what the bare schema provides, failing to address the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('Get', 'Returns') and resources ('status of a session and its agents', 'comprehensive status information'). It distinguishes from siblings by focusing on status retrieval rather than creation, deletion, listing, or messaging. However, it doesn't explicitly differentiate from similar status-checking tools that might exist.

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

Usage Guidelines2/5

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 doesn't mention prerequisites (e.g., needing a valid session_id), compare to sibling tools like list_sessions for broader overviews, or specify use cases (e.g., monitoring agent activity). Usage is implied but not explicitly stated.

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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