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runwhen-contrib

RunWhen Platform MCP

list_chat_rules

List chat rules for a specified workspace, with optional filters by scope, active status, and pagination.

Instructions

List chat rules (workspace chat rules).

Uses AgentFarm internal API; may require network access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based).
scope_idNoFilter by scope ID (e.g. workspace name, or None for platform).
is_activeNoFilter by active status.
page_sizeNoItems per page (1-200).
scope_typeNoFilter by scope (platform, org, workspace, persona, user).
workspace_nameYesThe workspace to query (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?

With no annotations, the description must disclose behavioral traits. It mentions 'Uses AgentFarm internal API; may require network access' but does not cover pagination, rate limits, or confirm read-only nature. The 'List' verb implies read-only but is not explicit.

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 two sentences long with no fluff. Every sentence provides information: the action and a technical detail.

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

Completeness3/5

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

Given 6 parameters and an output schema, the description could provide more context on typical usage, such as how pagination works or the relationship between workspace_name and scope_id. It is adequate but not comprehensive.

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 the schema documents all parameters. The tool description adds minimal extra meaning beyond the schema, meeting the baseline of 3.

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?

The description clearly states 'List chat rules' with a specific resource, and adds 'workspace chat rules' to differentiate from other chat-related tools. However, it does not explicitly distinguish from sibling tools like list_chat_commands.

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 alternatives such as get_chat_rule or create_chat_rule. It does not mention filtering options or prerequisites.

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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