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RunWhen Platform MCP

create_chat_rule

Define a rule for AI assistant chat behavior in a workspace. Specify scope, content, and activation state to control conversations.

Instructions

Create a chat rule. Uses AgentFarm internal API.

Skill: runwhen-skill://manage-rules (scoping + wording guidance).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesHuman-readable name for the rule.
scope_idNoScope ID (null for platform; workspace name for workspace).
is_activeNoWhether the rule is active.
scope_typeYesOne of platform, org, workspace, persona, user.
rule_contentYesMarkdown content of the rule.
workspace_nameYesThe workspace to create the rule in (e.g. 't-oncall').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions 'Uses AgentFarm internal API' but does not describe side effects, permissions, or whether the operation is idempotent. The skill reference is about wording guidance, not tool behavior.

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 only two sentences with no unnecessary words. Front-loaded with the core action. Every sentence 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 existence of an output schema and full parameter descriptions, the description is mostly complete. The skill reference provides extra guidance. However, it could mention prerequisites or the effect of scope_type and scope_id interplay, but overall sufficient.

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 100%, so parameters are well-documented in the schema. The description adds a skill reference that hints at scoping and wording, but does not add significant new meaning beyond the schema. Baseline 3 is appropriate.

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 action 'Create a chat rule' and the resource. It distinguishes from sibling tools like update or list by its verb. The skill reference adds context but is not necessary for purpose clarity.

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 explicit guidance on when to use this tool versus alternatives such as update_chat_rule or when to avoid it. The skill reference hints at scoping but does not provide clear usage context or exclusions.

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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