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oneid

Manage hardware-anchored identities for AI agents, covering devices, peer verification, and credentials to enable trusted agent-to-agent interactions.

Instructions

Hardware-anchored identity for AI agents (1id.com). Manage identity, devices, peer verification, and credentials. Call with operation="readme" for full documentation.

Input Schema

NameRequiredDescriptionDefault
paramsNoParameters for the operation
operationYesThe operation to perform (call with "readme" for documentation)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

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 of behavioral disclosure. It does not state whether operations are read-only or destructive, what permissions are required, whether changes are reversible, or what side effects to expect. 'Hardware-anchored' is architectural context, not behavioral transparency.

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 short and front-loaded with the product and domain. Every sentence serves a purpose, though the capability list is broad and could be tightened.

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?

For a multi-operation tool with nested parameters, no annotations, and no output schema, the description is minimal. It provides a readme escape hatch, but does not enumerate operations or disclose auth/safety context an agent would need before invoking it.

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%, so the schema already documents the two parameters at a basic level. The description adds the concrete operation="readme" example, but does not explain the nested params object or list available operations, leaving parameter meaning mostly to the schema.

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

Purpose3/5

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

The description establishes the domain (hardware-anchored identity for AI agents) and lists broad capability areas, but it does not name a concrete operation or verb beyond the generic 'Manage'. It is enough to know the tool is about identity, but not enough to distinguish specific operations or clearly separate it from other tools.

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

Usage Guidelines3/5

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

The only explicit guidance is procedural: call with operation="readme" for documentation. It does not state when to use this tool versus alternatives, nor does it provide prerequisites or exclusions. Usage is only implied by the identity-management domain.

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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