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kopern_connect_webhook

Create an inbound or outbound webhook for an agent. Inbound: receive messages via HTTP POST. Outbound: send events to your URL (n8n, Zapier, Make compatible).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoWebhook name
typeNoWebhook direction. Default: inbound
eventsNoEvents to subscribe to (outbound only): message_sent, tool_call_completed, session_ended, error
secretNoHMAC secret for signature verification (optional)
agent_idYesThe agent ID or name
target_urlNoTarget URL (required for outbound)

TDQS

A4/5.0
Behavior3/5

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

Annotations already mark the tool as non-read-only and non-idempotent, consistent with the 'Create' action. The description adds useful context about the behavior (inbound receives POSTs, outbound sends events to URL) but does not mention prerequisites, return values, or error handling. It adds some value beyond annotations without being comprehensive.

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?

The description is exactly two sentences, front-loaded with the primary purpose, and contains no filler or redundant information. Every clause 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?

Given the tool's moderate complexity (6 params, 1 enum, no output schema), the description adequately covers high-level behavior and direction, plus compatibility context. It falls short of explaining return values or exact prerequisites, but the schema and annotations compensate for most structured information, making this reasonably complete.

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?

The schema covers 100% of parameters with descriptions, so the description adds little beyond the schema. It does clarify the `type` parameter's direction and mentions compatible platforms for outbound webhooks, but does not provide additional syntax or usage details. Baseline of 3 is appropriate for high schema coverage.

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 'Create an inbound or outbound webhook for an agent' with specific verb (create) and resource (webhook). It distinguishes between inbound and outbound use cases, and the webhook-specific purpose is clear from the sibling context of other integration tools (email, slack, telegram, etc.).

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 explains when each direction is appropriate ('Inbound: receive messages via HTTP POST', 'Outbound: send events to your URL'), and mentions popular integration platforms (n8n, Zapier, Make) as context. However, it does not explicitly list alternatives or when not to use this tool, leaving the guidance slightly implicit.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes (create vs list vs get vs run vs connect). A few potential overlaps exist (deploy_template vs create_agent, import_agent vs create_agent, grade_prompt vs run_grading) but descriptions clarify the differences.

Naming Consistency4/5

All tools share the 'kopern_' prefix and mostly follow a verb_noun pattern (create_*, get_*, list_*, run_*, connect_*). The exception is 'kopern_compliance_report', which uses a noun phrase without a verb, breaking the otherwise consistent naming.

Tool Count2/5

With 31 tools, this exceeds the 25-tool threshold for well-scoped servers. While the domain is broad (agent lifecycle, grading, pipelines, teams, connectors), the sheer number of tools feels heavy and could be consolidated (e.g., a single 'manage_memory' tool already bundles multiple actions).

Completeness3/5

Core agent management (create, read, update, delete, list) is solid, and grading has suite creation, execution, and results. However, pipelines and teams lack get/update/delete operations, connectors only support connect (no disconnect), and there's no way to manage grading suites beyond creation and running. This leaves notable gaps for secondary resources.

Resources