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

The readOnlyHint annotation already signals a safe read operation, and the description adds useful behavioral context: each template lists its parameters and supported channels, and the comment_to_dm example illustrates the interaction flow. This gives the agent a concrete sense of what the returned templates describe without contradicting the annotation.

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

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

The description is compact and front-loaded, leading with the core purpose then adding usage guidance and a clarifying example. Every sentence contributes value, and the comment_to_dm example is relevant without being excessive.

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

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

For a simple read-only tool with one optional parameter and no output schema, the description covers the key things an agent needs: what the tool returns, when to call it, and a representative template example. It could theoretically mention that no output schema is provided, but this is not necessary given the straightforward nature of the tool.

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

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 parameter is already well explained in the schema, including when to omit it. The description adds no parameter-specific guidance, but the baseline of 3 applies because the schema carries the full burden and does so adequately.

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

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

The description clearly states the tool lists ready-made automation templates with their parameters and channels, which is specific and actionable. It does not explicitly contrast itself with list_automations, but the term 'templates' versus 'automations' and the reference to create_automation make the purpose distinguishable.

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

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

The description explicitly instructs agents to read this before create_automation, giving a clear when-to-use signal. It does not mention alternatives like list_automations or when to skip this tool, but the primary usage context is well established.

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