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delimit_swarm

Manage AI agent swarms by isolating each venture's namespace and binding models to standard roles (Architect, Senior Dev, Reviewer, QA, Ops).

Instructions

Manage the agent swarm - ventures, personas, namespace isolation.

Each venture gets 5 AI agent roles (Architect, Senior Dev, Reviewer, QA, Ops) with namespace isolation and model binding per Agent Swarm Standard v1.2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionNoSee actions above.status
ventureNoVenture name (for register/venture/create_agent).
agent_idNoAgent ID (for agent/check/create_agent/approve_agent).
repo_pathNoRepo path, description, or reason depending on action.
deploy_targetNoDeploy target for venture registration.
target_pathNoFile path, tool name, or role name depending on action.
access_actionNoAction name - for check: "read"/"write"/"deploy". For approve: "deploy_production"/"deploy_staging"/"social_post" etc.read

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must fully disclose behavior. It mentions namespace isolation and model binding per a standard, but fails to describe the effects of different actions (status, register, etc.), prerequisites, or side effects. The high-level overview lacks the necessary behavioral detail for an agent to safely invoke this tool.

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 two sentences and covers the core purpose and structure efficiently. While concise, it could be better structured with bullet points or clearer separation of concepts. No redundant words are present.

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?

Despite having an output schema (so return values are covered), the description is insufficient for a tool with 7 parameters. The variety of actions (status, register, etc.) is not explained, leaving agents without guidance on how to use the tool effectively across different use cases.

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 description coverage is 100%, so the standard baseline is 3. The description does add context about ventures and agent roles, but it does not significantly enhance understanding beyond what the schema already provides for the parameters.

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 the tool manages the 'agent swarm' with specific focus on ventures, personas, and namespace isolation. It distinguishes from other tools by detailing the venture structure with 5 AI agent roles and model binding, making its purpose very clear and unique among siblings.

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?

No guidance is provided on when to use this tool versus the many sibling tools (e.g., delimit_ventures, delimit_agent_*). The description implies usage for swarm management but does not state exclusions or alternative tools for specific sub-tasks.

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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