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swarm_join_tokens

Read-only

Retrieves the current swarm join tokens for workers and managers, enabling new nodes to join the swarm.

Instructions

Return the swarm's worker and manager join tokens.

These are the tokens a new node passes to swarm_join — without one, swarm_join cannot be called, so this closes the init -> join loop. The tokens are secret bearer credentials (anyone holding the manager token can join as a manager); treat the result as sensitive and avoid logging it. Reads swarm.attrs["JoinTokens"] after a reload, so it always reflects the current tokens.

returns: dict - {"Worker": , "Manager": }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds valuable context: tokens are secret bearer credentials, should be treated as sensitive and not logged, and the tool reads from swarm.attrs after reload to always be current. This is beyond what annotations provide.

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—three sentences plus a return type—with no wasted words. It front-loads the purpose and uses clear language.

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?

The description covers the return type with a structured example, explains security implications, and mentions the data source. With no parameters and annotations covering safety, the description is complete for this tool.

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?

There are no parameters (input schema is empty), so schema coverage is 100%. With 0 parameters, the baseline is 4; the description appropriately has no need for parameter details.

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 returns swarm join tokens, specifying worker and manager tokens. It distinguishes from related tools like swarm_join (which uses tokens) and swarm_init (which creates the swarm), making the purpose unambiguous.

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 explains that these tokens are needed for swarm_join, indicating the tool's role in the swarm lifecycle. It does not explicitly list when not to use it or name alternatives, but the context is clear enough for an agent to decide.

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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