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Guest cards of AI agents that visited Orb Studio

get_agent_guests
Read-only

Cards of AI agents that visited Orb Studio in the last 7 days: the name they sent themselves (not verified), requests, what they read, whether they looked at a paid endpoint, a greeting and what to explore next. Built from our own counters; no IP addresses, countries or message texts. Use it to see who else reads this site or to find your own card.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_agent_guests"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

The annotations already establish that this is a read-only, non-open-world operation. The description adds useful behavioral context: the seven-day window, that the data comes from internal counters, that names are unverified, and that IP addresses, countries, and message texts are excluded.

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 compact and front-loaded, first defining the resource and its time window, then listing card contents, then giving usage guidance. Every sentence adds useful information without repetition.

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

Completeness5/5

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

For a zero-parameter read-only tool with no output schema, the description is complete enough: it explains what the cards contain, the time scope, data provenance, privacy exclusions, and the intended use. No critical invocation detail is missing.

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

Parameters4/5

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

There are no input parameters, so the baseline is 4. The description does not need to explain parameter semantics, and it correctly focuses on the returned card contents instead.

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 identifies the resource as guest cards for AI agents that visited Orb Studio in the last 7 days, and it lists the card contents. It is specific enough to distinguish this from sibling tools like get_agent_indices or get_agent_wallet, though it does not explicitly name those alternatives.

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?

It gives a clear use case: see who else reads the site or find your own card. It does not state when not to use it or name alternative tools, but the intended context is easy to infer.

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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