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axis_agent_wire

Wire two AI agents together via Entangler.tech for trustless coordination. Generates deploy-ready Entangler config with CHRONOS time-travel logging, PULSE health monitoring, cryptographic identities, messaging schema, and failure handling. Use after axis_spark_to_swarm to wire the agents it planned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesWhat these two agents need to accomplish together
agent_aYesName or role of the first agent (e.g. 'zambo-research-agent')
agent_bYesName or role of the second agent (e.g. 'x711-execution-node')
topologyNoCoordination topology (default: direct)

TDQS

A3.9/5.0
Behavior3/5

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

No annotations provided, so the description carries the transparency burden. It lists what the config includes (logging, monitoring, identities, etc.) but does not disclose side effects, required permissions, or what happens on failure. Some behavioral context is given but not comprehensive.

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 two sentences, front-loaded with the main action, and includes a list of features without fluff. Every sentence adds value.

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

Completeness3/5

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

While the description covers the main functionality and usage sequence, it lacks details about return values (no output schema) and error conditions. For a tool generating a config, output format is missing, making it less complete.

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

Parameters3/5

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

Schema coverage is 100% with good descriptions for all parameters. The description does not add extra parameter-specific meaning beyond what the schema already provides (e.g., agent roles are clear from schema). Baseline 3 is appropriate.

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 purpose: wiring two AI agents via Entangler.tech for trustless coordination and generating a deploy-ready config with specific features. It distinguishes from siblings by mentioning a prerequisite (use after axis_spark_to_swarm) and listing unique config components.

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 explicitly says 'Use after axis_spark_to_swarm to wire the agents it planned,' providing clear when-to-use guidance. However, it does not mention when not to use or name alternatives beyond that single reference.

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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Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.5/5.0
Disambiguation3/5

Many tools have distinct purposes, but there are several overlapping or redundant tools (e.g., leadsignal vs leadsignal_generate, multiple code audit tools, multiple trading proposal/journal tools, and several 'universal' entry points like zambo_help, zambo_ask, zambo_universal). Descriptions help, but the volume creates ambiguity.

Naming Consistency3/5

Naming conventions vary across prefixes (zambo_, zambot_, axis_, presence_, trading_, etc.), with some tools using single words (weather, translate) and others using verb_noun patterns. Aliases like leadsignal_generate for leadsignal break consistency. While prefixes provide some grouping, the overall pattern is mixed.

Tool Count2/5

125 tools is excessive for a single MCP server, even if the server aims to be a universal stack. This makes it overwhelming for agents to navigate and increases the likelihood of misselection. Many tools could be split into domain-specific servers.

Completeness5/5

The tool surface is extraordinarily comprehensive, covering agent identity, cross-layer orchestration, code analysis, content generation, legal scanning, lead generation, trading, on-chain data, and more. Nearly any common agent task is supported with multiple tools, leaving few obvious gaps.

Resources