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Squad Run

squad_run

Executes the complete squad pipeline for any request, classifying and dispatching through research, plan, implement, and review stages with control gates. Ideal for end-to-end work or when specific squad tools don't apply.

Instructions

Run the full squad pipeline for any request. Hands the request to the Squad Coordinator, which classifies it against the routing table and dispatches the matched roles through Research -> Plan -> Implement -> Review, carrying the council Implementation Gate, the autopilot/autonomous Human Gates, and the notification approval contract unchanged. This is the catch-all entry point and runs at the confirm tier with gates. Set mode=autonomous for the bounded validator loop or mode=autopilot for the full gated pipeline. Delegated execution: returns the Coordinator persona, matched routing, and a framed dispatch request for the host to drive. Use when no narrower squad_* tool fits, or for end-to-end work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoOptional autonomy mode: autonomous (bounded validator loop) or autopilot (full gated pipeline).
tierNoOptional model-tier hint overriding the coordinator's cost-first default.
ownerNoOptional Member Name from team.md to pick a specific named member.
squadNoOptional federation sub-squad to target (state under .copilot-tracking/squad/members/<name>/); omit outside a federation.
contextNoOptional free-form context to frame the pipeline.
profileNoOptional squad profile to seed when the project has no squad yet.
requestYesThe work for the squad this turn (any intent; the Coordinator classifies it).
Behavior5/5

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

Despite no annotations, the description comprehensively discloses behavioral traits: pipeline stages, gates (Implementation Gate, Human Gates, notification approval contract), mode behavior, and that it returns Coordinator persona, matched routing, and dispatch request. No hidden behaviors or contradictions.

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 and informative but slightly long. Every sentence adds value, starting with the core purpose, then pipeline details, then mode options, then output, and finally usage guidance. No unnecessary repetition.

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

Completeness5/5

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

Given the complexity (7 parameters, no output schema, multiple siblings), the description covers all essential aspects: purpose, behavioral pipeline, mode differentiation, parameter context, and sibling differentiation. It adequately prepares an AI agent to select and invoke the tool correctly.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds extra semantic value beyond the schema by explaining mode options ('bounded validator loop', 'full gated pipeline') and the role of the request parameter ('any intent; the Coordinator classifies it'). While not exhaustive for all 7 parameters, it enhances understanding for key ones.

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 it runs the full squad pipeline for any request, describes the pipeline stages (Research -> Plan -> Implement -> Review), and explicitly distinguishes it from narrower sibling tools by saying 'Use when no narrower squad_* tool fits, or for end-to-end work.'

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

Usage Guidelines5/5

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

Provides explicit guidance on when to use this tool (catch-all, end-to-end work), describes different modes (autonomous, autopilot) with their effects, and mentions delegated execution. No ambiguous or missing usage context.

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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