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AiAgentKarl

agent-validator-mcp-server

check_agent_interface_url

Verifies if a domain hosts an Agent Interface specification by checking the well-known URL path for agent-interface.json.

Instructions

Check if a domain hosts an Agent Interface spec.

Looks for the spec at the well-known URL: https://domain/.well-known/agent-interface.json

Args: domain: Domain to check (e.g. "example.com")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It only states that it 'looks for the spec' at a URL, but does not mention what happens on success/failure, side effects, or return type. This leaves significant ambiguity.

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 concise with three lines, including a clear explanation and an 'Args' section. It is efficient, though it could be slightly more compact without losing information.

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?

With no output schema, no annotations, and sparse parameter coverage, the description should provide more details on return values, error handling, and behavioral outcomes. It only covers parameter semantics minimally, leaving the overall functionality under-specified.

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 0% (no parameter descriptions in schema). The description adds meaning by specifying the parameter 'domain' and giving an example ('example.com'), but does not include format constraints or additional context beyond the example.

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?

The description clearly states the tool checks if a domain hosts an Agent Interface spec, and specifies the exact well-known URL pattern. It distinguishes itself from sibling tools like validate_api_endpoint and validate_openapi_spec by focusing on a specific spec.

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 description provides clear context for when to use the tool (checking for Agent Interface spec). It does not explicitly state when not to use it or compare with siblings, but the specificity implies its use case.

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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