batch_update

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

No annotations are provided, so the description carries the full burden of disclosing behavioral characteristics. It does state that updates go 'via the Things URL scheme' and that a summary is returned, but it does not cover partial success, failure handling, idempotency, reversibility, or side effects. For a mutating operation without annotations, this is a significant transparency gap.

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 well-structured with a one-sentence overview followed by Args and Returns sections. It is mostly concise, though the requirement that each update dict must have an 'id' is stated twice: once in the opening paragraph and again in the Args block. This minor redundancy prevents a 5.

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 single-parameter tool with no output schema and no annotations, the description covers the essential invocation details: update shape, required id, allowed fields, and response summary. It does not document date format constraints, invalid-id behavior, or partial-failure semantics, but those are non-blocking for correct basic invocation.

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?

The input schema only says updates is an array of additionalProperties objects, giving no field-level detail. The description fully compensates by specifying the required 'id' key, the allowed mutation fields (title, notes, when, deadline, tags, completed, canceled), types for boolean fields, and a concrete example. This is exactly the parameter semantic guidance an agent needs.

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 clear verb and resource: 'Update multiple todos at once via the Things URL scheme.' It states the mechanism and the object being changed, so an agent can tell it apart from read-only siblings like get_dashboard. However, it does not explicitly distinguish it from sibling tools like bulk_complete or bulk_reschedule.

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?

There is no guidance on when to choose batch_update instead of alternatives. No exclusions or comparisons to siblings such as bulk_complete or bulk_reschedule are provided. The only usable hint is the phrase 'multiple todos at once,' which only vaguely implies batch usage.

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