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List automation templates

list_automation_templates
Read-only

Ready-made automation templates with the params each one takes. Read this before create_automation. Every template lists the channels it works on. The most used one is comment_to_dm: a comment on a post gets one private reply with a button, and tapping it delivers a link or file inside the messaging window. AI-written comment replies are comment_public_reply with replyMode "ai" (and comment_to_dm's public reply with publicReplyMode "ai"); the old template id ai_comment_reply still works and the answer says renamedFrom.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNoWhich workspace this is for. Only needed when the account has more than one — the error tells you the ids when it matters. Leave it out if it is already decided; do not ask the person again.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description goes further by disclosing response content (each template's channels, the renamedFrom field, the ai_comment_reply alias). That is meaningful behavioral context beyond the structured fields, though return shape/pagination is still unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose and usage cue are front-loaded in the first two sentences, but the remainder sprawls into detailed reference material about specific templates and aliases without structure. This detail is useful but not tightly organized, and some sentences would be better placed in per-template documentation.

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?

With no output schema, the description carries the return-value burden and does explain what the answer contains (channels per template, params, renamedFrom) and how to act on it. It is close to complete for a low-complexity, one-optional-param list tool.

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% and the single optional workspaceId is fully documented in the schema, including its conditional requirement. The description never mentions the parameter, so it adds no semantics beyond the schema — the baseline 3 for high coverage applies.

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 opening line states a specific resource (ready-made automation templates) and what it returns (the params each one takes), so the verb+object is clear. It does not explicitly distinguish itself from the sibling list_automations (which lists configured automations rather than templates), leaving a small ambiguity an agent must resolve from context.

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?

"Read this before create_automation" is an explicit, actionable when-to-use cue tied to a named sibling. It lacks any when-not-to-use note or a direct contrast with list_automations, so it falls short of full alternative routing.

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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