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Agents with access

list_agent_access
Read-only

AI agents that registered for this account through auth.md agent registration (the person confirmed a 6-digit code), with their status: pending (code not confirmed yet), active, expired or revoked. Agents connected through the normal OAuth sign-in are not listed here.

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": "list_agent_access"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds real semantic value beyond that by enumerating the four possible status values and explaining what 'pending' means (code not confirmed), which is exactly the interpretive context an agent needs to read results.

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?

Two tight sentences: the population definition comes first, the status enumeration second, the exclusion last. Every clause carries information; nothing is repeated from the title or annotations.

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

Completeness4/5

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

With no output schema, the description carries the burden of describing the return shape and does so (agent identity plus status with an enumerated value set). It omits ordering, pagination, and any account/workspace scoping, which are minor but real gaps for a listing tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. No misleading parameter hints are given.

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?

States a specific verb+resource ('AI agents that registered for this account through auth.md agent registration') plus the payload ('with their status'), and explicitly carves out the population it does not cover (OAuth-connected agents), so an agent can distinguish it from list_members or whoami.

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 inclusion/exclusion boundary is stated crisply: only auth.md-registered agents with confirmed 6-digit codes appear, and OAuth sign-in agents are excluded. It stops short of naming the natural follow-up tool (revoke_agent_access) for acting on the results, so it is clear context rather than full when/when-not routing.

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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