Boardroom Revenue Control

AI-agent configuration

agent_config

Read-onlyIdempotent

How the AI agent is set up for this workspace: mode and persona, working hours, hand-over rules, follow-up cadence, trigger list, actions, voice scenarios, and the TITLES of its knowledge documents. Document text is not returned — the list answers what the agent knows about; reading one whole is a separate, narrower ask. No credential of any kind is reachable from here: an agent's instructions are not its keys. [scope: agent:read]

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description
`ok`	No	False when the call was refused or failed; see error.
`error`	No	Machine-readable refusal code (a string), present only when ok is false.
`message`	No	Human-readable explanation of a refusal (a string).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 9, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "error": {
+      "description": "Machine-readable refusal code (a string), present only when ok is false."
+    },
+    "message": {
+      "description": "Human-readable explanation of a refusal (a string)."
+    },
+    "ok": {
+      "description": "False when the call was refused or failed; see error.",
+      "type": "boolean"
+    }
+  },
+  "type": "object"
+}

First observedOct 9, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: the exact return shape (titles only, no document text) and a hard security boundary ('no credential of any kind is reachable'). No pagination or size limits are disclosed, keeping it from a 5.

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?

Three sentences, front-loaded with the content list and followed by the two most important constraints (missing text, no credentials). The opening sentence is a long enumeration, but every item listed is a distinct payload section an agent would want to know about.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters, an existing output schema, and full annotation coverage, the description's only remaining job is to explain scope and limits — which it does decisively by ruling out document text and credentials. Nothing an agent needs before calling it is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly adds nothing about inputs, since there is nothing to specify.

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?

States a specific resource (the AI agent's configuration) and enumerates exactly what it contains: mode/persona, working hours, hand-over rules, follow-up cadence, triggers, actions, voice scenarios, and knowledge-document titles. An agent can tell this apart from conversation-oriented siblings like agent_conversations and agent_get_conversation without opening the schema.

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?

Explicitly bounds the ask: 'Document text is not returned' and 'reading one whole is a separate, narrower ask,' which tells the agent when this tool is insufficient and that a narrower retrieval exists. It stops short of naming the alternative tool or stating positive when-to-use conditions, so not a full 5.

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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