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HyperRouteAI

hyperroute-mcp

Official
by HyperRouteAI

console

View HyperRoute account data as JSON across home, history, tools, keys, and stats to monitor usage and manage access.

Instructions

The user's console as JSON. view: home | history | tools | keys | stats.

Input Schema

NameRequiredDescriptionDefault
viewNohome

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, yet it says nothing about permissions/auth requirements, whether the data is live or cached, or what distinguishes the views behaviorally. 'The user's console' implies per-user scoping, which is the only real behavioral signal.

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 tight fragments, front-loaded with the resource and return type, with zero filler. The terseness is efficient but edges toward under-specification rather than being padded.

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?

There is no output schema and no annotations, so the description is the only source of information about a tool that returns view-dependent JSON. It never describes what any view yields, so an agent cannot predict the response shape before calling.

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 0% and the schema declares 'view' as an unconstrained string with no enum, so the description's enumeration 'home | history | tools | keys | stats' is genuinely necessary information the schema lacks. However, it doesn't explain what each view returns, leaving the agent to guess the meaning of 'keys' or 'stats'.

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?

Names the resource ('the user's console') and the return format ('as JSON'), which distinguishes it from siblings like session_info or my_tools. The verb is only implied (read/fetch), but the scope is unambiguous enough for selection.

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 lists view values but never says when to use this tool versus session_info, my_tools, ranking, or describe — several siblings that plausibly overlap in returning user/session data. No exclusions or routing guidance is given.

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