lightbulb-mcp

Overview Schema Source Related Servers Discussions Admin

slack_app_mention

DestructiveIdempotent

Handle Slack @mention events through the authorized connector account, verifying read/write effect claims and resuming approved write tasks with an idempotency key.

Instructions

Slack connector operation app_mention (platform tool slack.app_mention).

Routes only through the exact project/account governed connector authority.

Args: arguments: JSON string of arguments for the connector operation. project_id: Authenticated Project UUID. project_ref: Exact project correlation reference. connector_account_ref: Project-bound connector account alias. idempotency_key: Stable business-action identity. effect: Claimed read or write effect; Spring verifies it. approval_ref: Approved platform task UUID when resuming a write.

Input Schema

TableJSON Schema

Name	Required	Default
`effect`	No
`arguments`	No	{}
`project_id`	No
`project_ref`	No
`approval_ref`	No
`idempotency_key`	No
`connector_account_ref`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed6 schema fields changedv0.1.1Sep 7, 2026

addedInput schema / properties / approval_ref

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Approval Ref"
+}

addedInput schema / properties / connector_account_ref

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Connector Account Ref"
+}

addedInput schema / properties / effect

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Effect"
+}

addedInput schema / properties / idempotency_key

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Idempotency Key"
+}

addedInput schema / properties / project_id

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Project Id"
+}

addedInput schema / properties / project_ref

Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Project Ref"
+}

First observedv0.1.0Jun 25, 2026

TDQS

C2.6/5.0

Behavior3/5

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

Annotations already convey read/write/destructive/idempotent hints, so the bar is lower. The description adds that write operations require an 'Approved platform task UUID' via approval_ref when resuming and that effect is verified by Spring, which is useful behavioral context. However, it does not describe actual side effects or what happens externally, and no contradiction with annotations exists.

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 compact and structured with a clean labeled Args list, with the routing constraint front-loaded. No wasted words, though the opening sentence repeats the tool name and adds little value.

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?

For a tool named app_mention, an agent still cannot determine what scenario it addresses, what to place in arguments, or how it differs from other Slack operations. The routing and approval notes are helpful operational constraints, but the core purpose and invocation details are missing. An output schema exists, but it does not compensate for absent input semantics and usage context.

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?

With 0% schema description coverage, the description carries the burden and does add brief meaning to most parameters: project_id, project_ref, connector_account_ref, idempotency_key, effect, and approval_ref all receive purpose-specific one-liners. However, the critical 'arguments' parameter is only described as 'JSON string of arguments for the connector operation,' which is circular and unhelpful—the actual Slack app_mention arguments are never enumerated.

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

Purpose2/5

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

The description restates the tool name as 'Slack connector operation app_mention' and gives the platform identifier, but never states what the operation actually does in Slack. This is a tautology rather than a functional explanation and does not distinguish it from other slack_* tools.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus the many other Slack or connector tools. The only contextual statement is the routing constraint ('Routes only through...'), which is about enforcement, not usage selection. No alternatives, exclusions, or prerequisite conditions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server