Skip to main content
Glama

Route to Agent

neuroverse_route

Route tasks to any registered agent via HTTP, providing a task description and optional payload for execution.

Instructions

Route a task to a registered downstream agent via HTTP.

Args:

  • target_agent (string): Name of the agent

  • task (string): Task description

  • payload (object): Arbitrary payload

Returns: JSON with the agent's response or a fallback error

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesTask description to send
payloadNoArbitrary payload for the target
target_agentYesName of the registered agent
Behavior3/5

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

Annotations declare readOnlyHint=false and destructiveHint=false. The description adds that the tool uses HTTP and returns JSON with a fallback error, but does not elaborate on behavioral traits beyond what annotations already convey.

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?

The description is relatively short and front-loaded with the main action. It lists arguments and return value efficiently, though it could be slightly more concise by not repeating schema info.

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?

Without an output schema, the description explains the return value as 'JSON with the agent's response or a fallback error.' It covers the basics but misses potential details like error handling, timeouts, or network behavior.

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 description coverage is 100%, with each parameter already described in the JSON schema. The description repeats these with slight variations, adding no new semantic information beyond the schema.

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 clearly states it routes a task to a registered downstream agent via HTTP, specifying the three arguments and return value. The purpose is clear, but it does not explicitly differentiate from sibling tools like neuroverse_execute or neuroverse_process.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It lacks context for appropriate usage scenarios or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/joshua400/neuroverse'

If you have feedback or need assistance with the MCP directory API, please join our Discord server