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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is supplied. The description adds two genuinely useful behavioral facts beyond that: source tools stay untouched, and a post-success read is expected. It says nothing about whether completion is reversible, idempotent, or what errors look like for a mutation tool.

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 and front-loaded: the scope, then the per-type parameter mapping, then side effects, then the follow-up. The embedded confirmation string template is purposeful for response consistency, though "Source tools stay untouched" is terse enough to be slightly ambiguous.

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?

Five parameters at zero schema coverage and no output schema put the burden on the description, which covers the type-to-parameter mapping and next step adequately. It still leaves gaps on the semantics of `commitment` vs `id`, and on failure modes for a mutating operation, so it is adequate rather than 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?

With 0% schema description coverage, the description carries the full burden, and it does map the conditional shape well: todo→id, commitment→commitment, note→jobId+milestoneId. However, it never clarifies what form the `commitment` value takes (id vs. name), whether `id` is used for commitment/note types, or why `type` is the only required field — leaving the conditional requirement logic implicit.

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 and resource ("Complete a task in Lemongraph") and immediately scopes the input to ids obtained from get_today. The three-branch breakdown by task kind makes it unambiguous against siblings like create_task or approve_card.

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?

Explicitly names the prerequisite source (ids from get_today) and prescribes a follow-up call to get_today for the remaining count after success. It does not state when *not* to use it or how it relates to approve_card, but the operating context is clear.

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