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

With no annotations, the description carries the full burden, and it does disclose the most consequential trait: output goes to drafts with suggested times and is not published. However, it says nothing about idempotency or duplicate drafts on repeat calls, what the response contains, or permissions, and the instruction to 'leave one empty if you don't know' is in tension with worked_on being required.

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 sentences, front-loaded with the action and its outcome, then the answering convention. Slightly dense phrasing ('and Loudcode plans a week of posts') but nothing is wasted.

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 mutating, side-effect-producing tool with no annotations and no output schema, the description covers the key side effect but omits what the agent gets back and whether repeated invocation creates additional draft batches. Adequate but leaves real operational gaps.

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 100% with clear per-field descriptions, so the baseline of 3 applies. The description only adds sourcing guidance ('from what you know about their week') and a fill strategy, which partially conflicts with the required worked_on field rather than clarifying it.

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 concrete action (run the user's weekly check-in) and its consequence (Loudcode plans a week of posts saved as drafts, not posted), which tells an agent what the tool actually produces. It does not name or distinguish itself against siblings like draft_post or queue_post, so the differentiation is only inferable from the draft/not-posted detail.

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?

Usage is implied: this is the check-in entry point that generates a week of drafts rather than a single post. There is no explicit when-to-use, when-not-to-use, or named alternative (e.g., 'use draft_post for a single post'), so an agent must infer the routing from sibling names.

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