nexus_agent_multi

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states that agents run simultaneously, operate autonomously, and can read files, write code, and execute commands, signaling meaningful side effects. It does not detail failure/partial-result semantics, but the core behavior is transparent enough for selection.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well structured and front-loaded, with the core action in the first sentence. The use-case sentence is useful. Minor redundancy exists because 'IN PARALLEL' and 'All agents run simultaneously' repeat the same idea, but the overall length is appropriate.

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

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

For a tool with one nested parameter and no output schema, the description covers what an agent needs to decide to use it: parallel execution, per-agent model/task, code/file/command side effects, and combined results. It could go deeper on partial failures or limits, but the provided context is solid.

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

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

The only top-level parameter, 'agents', has a schema description ('List of agents to run in parallel'), and required nested fields are documented in the schema. The tool description does not add parameter-level meaning beyond the schema, so with high schema coverage the baseline score of 3 applies.

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

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

The description opens with a specific verb and resource: 'Run multiple autonomous AI agents IN PARALLEL, each with its own model and task.' It clearly conveys a batch, parallel orchestration tool, which differentiates it from single-agent or status-related sibling tools. The divide-and-conquer examples reinforce what the tool is for without ambiguity.

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

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

The description gives concrete use cases: 'one agent codes while another tests' and splitting a large codebase across agents. This provides clear context for when to reach for this tool, though it does not explicitly state when not to use it or name alternative sibling tools.

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