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system_close

Close pooled Docker client connections to discard stale or errored connections. Clients rebuild lazily on next use, without affecting running containers.

Instructions

Close and drop pooled Docker client connection(s); each is rebuilt lazily on next use.

Use this to force a stale or errored connection to be discarded. Prefer system_reconnect when you want to immediately re-establish the connection rather than wait for the next tool call to trigger a lazy rebuild. With host omitted every pooled client is closed (unlike other tools, where omitting it means the default host). Closing clients does not affect running containers.

returns: bool - True once closed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

The description discloses important behaviors beyond annotations: lazy rebuild on next use, immediate versus lazy reconnection, the host-omission behavior, the fact that closing clients does not affect containers, and the return type. The annotations only say readOnlyHint=false and destructiveHint=false, so the description carries the full burden and does so thoroughly.

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 four sentences, all of which add value: the core action, the use case, the alternative, the host semantics, and the return type. It is front-loaded and free of unnecessary words.

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 0-parameter tool with an output schema (returns bool), the description covers purpose, usage guidance, behavioral semantics, and return value comprehensively. However, the misplaced mention of a `host` parameter (not in the schema) introduces an inconsistency that prevents a perfect completeness score.

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?

The input schema has zero properties, yet the description repeatedly refers to a 'host' parameter ('With `host` omitted...'). This creates a direct mismatch with the schema, potentially misleading the agent into thinking a host parameter exists. While the prose is informative, it fails to align with the actual parameter schema, so it cannot earn a higher score.

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's function: 'Close and drop pooled Docker client connection(s); each is rebuilt lazily on next use.' This specifies a verb, a resource, and a consequence. It also distinguishes itself from sibling `system_reconnect` by contrasting lazy rebuild with immediate re-establishment.

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?

It explicitly tells when to use this tool ('force a stale or errored connection to be discarded') and when to prefer the alternative ('Prefer `system_reconnect` when you want to immediately re-establish the connection'). It also clarifies a non-obvious semantic: omitting `host` closes every pooled client, unlike other tools.

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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