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Glama

entangled_send_message

Send asynchronous direct messages or delegate tasks to other AI agent CLIs, or broadcast to all agents, enabling distributed workflows without a central daemon.

Instructions

[ENTANGLED] Sends an asynchronous direct message or task delegation to another agent CLI (or 'all'). Example: Antigravity sends an action_request to 'opencode' to run a backend test.

Input Schema

NameRequiredDescriptionDefault
actionYes
messageYes
priorityNonormal
payload_jsonNo{}
sender_agentNoagent
target_agentYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses one meaningful trait — the call is asynchronous — but says nothing about delivery guarantees, whether the message is persisted, failure behavior, permissions, or rate limits for a tool that mutates shared swarm state.

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?

Two short sentences, front-loaded with the core action and followed by a concrete example. The '[ENTANGLED]' tag is minor noise, but no sentence is wasted.

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?

For a 6-parameter, no-annotation mutation tool with 0% schema coverage, the description is too thin. An output schema exists so return values need not be explained, but priority semantics, payload_json format, sender_agent use, and delivery/error behavior are all absent.

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?

All six parameters have 0% schema description coverage (titles only), so the description must compensate and largely does not. It adds semantics for target_agent ('all' broadcast) and hints at an action value via 'action_request', but priority, payload_json, and sender_agent are entirely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (sends) and resource (asynchronous direct message or task delegation) with a named recipient type (another agent CLI, or 'all'). It implicitly contrasts direct messaging with the sibling broadcast/announce tools, but never names them, so it stops short of full sibling differentiation.

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

Usage Guidelines3/5

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

The concrete example ('Antigravity sends an action_request to opencode to run a backend test') implies the usage context of cross-agent task delegation, which is useful. However, it never states when to prefer this over entangled_announce or entangled_broadcast_knowledge, leaving the agent to infer the distinction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.