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Agent Link™ details

get_agent_link_details
Read-onlyIdempotent

Explain Apirro's Agent Link™: the single integration layer that connects a merchant's catalogue, inventory and checkout to every major AI agent and agentic commerce protocol (MCP, UCP, AP2, GEO/AEO).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectionNoWhich part to return. Defaults to all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already guarantee read-only and idempotent behavior, so the bar is lower. The description adds context that the result is an explanation of a conceptual integration layer rather than a live data query, but it doesn't disclose how the section parameter shapes the response or whether output is static marketing content. No contradiction with annotations.

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?

A single sentence that combines the command with a compact definition of the subject; no filler, and the tool's purpose is expanded enough to orient an agent. Every part earns its place.

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 one optional parameter, read-only annotations, and no output schema, the description provides the main thing an agent needs: what the tool explains and the domain it covers. It falls slightly short only because it doesn't distinguish this from the similarly named overview tool, leaving potential selection ambiguity.

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 coverage is 100%, so the baseline is 3 even though the description never mentions the single optional section parameter. The parameter's enum values are self-descriptive and the schema notes the default, so no additional meaning is needed.

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?

States a specific action ('Explain') and a specific resource (Apirro's Agent Link), and describes the subject as the integration layer connecting catalogue, inventory, and checkout to AI agent protocols. The intent is clear, but it does not compare itself to siblings like get_agentic_commerce_overview, so it doesn't fully differentiate.

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 description implies the tool is for explaining Agent Link, but it contains no explicit when-to-use or when-not-to-use guidance, nor does it name alternative tools. An agent can infer usage from the action verb, but receives no routing help among related commerce-overview siblings.

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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