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agent_stop

Stops a running agent by writing a stop record to the blackboard, marking it stopped in the registry. Returns confirmation or error if agent_id is missing.

Instructions

Signal a running agent to stop by writing a stop record to the blackboard and marking it stopped in the registry. Returns {ok:true, agentId, reason, stopped:true}. Returns {ok:false, error:"..."} if agent_id is missing. agent_id must match a value returned by agent_list; reason is optional but written to the audit log under eventType "agent_stop" and helps trace the cause of the stop. The agent observes the stop signal on its next poll — it does not terminate immediately. Call agent_list first to confirm the agent is currently active.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesID of the agent to stop
reasonNoReason for stopping (optional, for audit)
Behavior5/5

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

Despite no annotations, the description thoroughly discloses behavior: it returns success/error, the stop is not immediate but on next poll, and the reason is logged. This fully compensates for missing annotations.

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?

The description is concise (four sentences) and front-loaded with the primary purpose. Every sentence adds necessary context without redundancy.

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?

For a two-parameter tool with no output schema or annotations, the description covers return format, behavior, prerequisites, and audit logging, providing complete context.

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%, but the description adds value by linking agent_id to agent_list output and explaining the reason parameter's audit purpose, going beyond the schema.

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 stops an agent by writing a stop record to the blackboard and marking it as stopped in the registry, which distinguishes it from sibling tools like agent_list and agent_spawn.

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 description advises calling agent_list first to confirm the agent is active, which provides clear usage context. It could be improved by explicitly stating when not to use the tool, but the guidance is strong.

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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