AgentIDL: Semantic Interface Layer

Agent Interface Definition Language (AgentIDL) is examined as a semantic interface layer through which agent capabilities and commitments can be expressed, discovered, and composed without reference to internal implementation details.

Within the research, AgentIDL is treated as a structural mechanism for exploring how heterogeneous agents may participate in shared execution environments while remaining independently constructed and governed.

Structural Role

Rather than operating as a programming language in the conventional sense, AgentIDL functions as a declarative interface structure situated between semantic intent and executable coordination.

It addresses the question of how agent behavior can be exposed, constrained, and combined at the level of meaning rather than code.

Functional Dimensions

Capability Expression

AgentIDL provides a structured way for agents to declare the semantic capabilities they are prepared to participate in, without revealing internal mechanisms.

Such declarations define the scope of admissible action rather than guaranteeing execution strategy.

Interface Explicitness

By making semantic commitments explicit at the interface boundary, AgentIDL clarifies:

  • which forms of interaction are semantically admissible,
  • how responsibilities are demarcated across agents,
  • and where execution boundaries reside.

This clarificatory role becomes critical when agents originate from different authors, organizations, or runtime environments.

Compositional Coordination

AgentIDL supports the compositional arrangement of agent capabilities into larger execution structures.

Coordination here is treated as an exercise in semantic compatibility, not procedural control. The emphasis lies on whether declared commitments may be safely composed, rather than on how orchestration is implemented.

Scope Boundary

AgentIDL is not presented as a finalized specification or interoperability standard.

It is used as a conceptual and structural device within the research to examine how semantic interfaces might support coordination, responsibility allocation, and verification in multi-agent systems.

AgentIDL serves as an interface lens through which executable semantic order can be explored at the boundary between independent systems.