batch_update

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

With no annotations, the description carries the full burden and does so well: it discloses atomic all-or-nothing semantics ("if any fails, nothing is written and every failure is returned"), the validation pass, and the dry-run preview. It also states what is reported back (`milestones`), which is exactly the kind of trait annotations would otherwise provide.

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?

Dense but front-loaded — the batch purpose leads, then field semantics, then failure/dry-run behavior. Every sentence contributes, though the trailing milestone sentence sits a little awkwardly after the atomicity guarantee.

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?

No output schema exists, yet the description explains the return surface (failures list, dry-run preview, milestone reporting) and the mutation contract. It stops short of stating permission/auth prerequisites or how large a batch may be, but is otherwise complete for a batch mutation 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 coverage is 0%, so the description must compensate, and it enumerates the entry fields (status, reason, type, owner, tags, status_note, docs, dimensions) plus the `status: "from-text"` special value and the dry_run effect. It omits the `collection` field present in the schema, so it doesn't fully close the gap.

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?

States a specific verb+resource+scope: "Apply update-style changes to many initiatives (tickets/issues) in one call." The "many ... in one call" framing cleanly separates it from the single-item `update` sibling without needing the schema.

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?

Gives a concrete usage context ("recording statuses across an adopted folder") and routes preview behavior through `dry_run: true`. However it never explicitly names when to prefer `update` over `batch_update`, so the single-vs-batch boundary is left to inference.

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