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get_active_agents

Check which AI agents are currently active, optionally filtered by project, to monitor team activity, find collaborators, and avoid conflicts.

Instructions

Get information about active agents.

ESSENTIAL FOR: Understanding team activity and coordination

This tool shows which agents are currently working, optionally filtered by a specific project. Useful for understanding team activity and coordinating with other agents.

WHEN TO USE:

  • See all active agents across all projects

  • Check who's working on a specific project before joining

  • Monitor team activity and coordination opportunities

  • Find collaborators or check for potential conflicts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoOptional project ID to filter by
project_nameNoOptional project name to filter by
workspace_pathNoOptional workspace path to filter by
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It explains that the tool shows currently working agents with optional project filtering, but does not define 'active', mention the return format, or note potential side effects. This is adequate but not rich.

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 well-structured with clear sections and bullet points, making it scannable. However, it is somewhat repetitive, with 'ESSENTIAL FOR' and 'WHEN TO USE' covering overlapping territory, so it is not maximally concise.

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?

For a simple tool with three optional parameters and no output schema, the description provides adequate context about purpose, usage, and filtering. It does not explain the return value structure, but this is not critical given the tool's simplicity and the absence of an output schema.

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% with each parameter described. The description adds that filtering is by project, but does not clarify the differences between project_id, project_name, and workspace_path. Baseline of 3 applies since the schema already documents all parameters.

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 retrieves information about active agents, with a specific verb and resource. However, it does not explicitly differentiate from sibling tools like get_agents_list or get_agents_in_project, so it misses the highest score for sibling distinction.

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 'WHEN TO USE' section provides concrete scenarios and context for using the tool, such as checking who's working on a project. It does not mention when not to use it or alternatives, so it lacks explicit exclusions.

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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