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

The annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds useful scope (saved playbooks plus templates and the returned fields), but it does not disclose default filtering behavior or what happens when no filter parameters are provided. This is adequate but not rich.

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?

Two tight sentences: the first states the core functionality and output fields, the second gives concrete invocation triggers. There is no filler or repetition of the schema.

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 read-only listing tool with five optional filters and no output schema, the description covers the return content and typical use cases. It could mention that omitting filters returns all playbooks, but the schema and the simple nature of the tool make the description sufficiently complete.

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 80%, so the input schema already documents most parameters. The description itself adds no parameter-level meaning, and the one undocumented parameter (last_run_at_to) is not explained in the description either. Baseline 3 is appropriate.

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 opens with a specific action and resource: 'List the workspace's saved playbooks' and includes the returned metadata ('name, schedule, last run') plus built-in templates. This clearly distinguishes it from sibling creation/scheduling tools like playbook_create, playbook_run_now, and playbook_schedule.

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?

It explicitly lists natural-language triggers ('what playbooks do I have', 'show my saved workflows', 'what automations are set up'), which tells an agent when to select it. It does not state exclusions or compare against alternative tools, so it stops short of a 5.

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