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

Annotations are weak here (readOnlyHint=false, idempotentHint=false, destructiveHint=false), so the description carries real weight and does so well: it discloses that the output is heuristic/lexical only, that it 'cannot establish real dependencies or validate an execution plan,' and that the user must review the result. Pricing and the list_treatments reference add commercial context.

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?

Four tight sentences, front-loaded with the core action and heuristic basis before the limitation caveat. The trailing price pointer is slightly disconnected from the main flow but still earns its place by telling the agent where to look up cost.

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?

With six parameters (one nested object), no output schema, and idempotency/charge semantics at stake, the description covers purpose and limitations well but never sketches what the tool returns or how the proposed structure/ordering is delivered. An agent must infer the response shape entirely from 'review the proposed structure'.

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 67% and the schema already documents context, goal, meta labels, api_key, idempotency_key and max_price_credits in detail. The description adds nothing about any parameter (e.g., what 'goal' or 'max_price_credits' do), so the 3 baseline applies.

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 gives a concrete verb and resource: 'Organise task notes using headings, action words and dependency cues,' and elaborates with what it extracts (task-like sentences) and produces (suggested subproblems, dependencies, blockers, ordering). This is clearly distinguishable from a generic 'massage' label, though it does not compare itself to any of the oddly-named siblings.

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 implies a use case (untangling messy notes/plans) and adds a caution ('Review the proposed structure'), plus a pointer to list_treatments for pricing. But there is no explicit when-to-use/when-not versus alternatives and no prerequisites stated; usage is inferred rather than directed.

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