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

Even though destructiveHint=true already flags danger, the description adds genuinely important behavioral context: acknowledgement can permanently purge deltas and entity state, it releases a lease, and it returns acknowledged/purged counts. It also states 'No LLM call', which helps an agent decide how to invoke it.

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 short sentences, each earning its place: core action, side effects, return summary, and workflow reference. The most decision-relevant warning is front-loaded early.

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?

Given the 100% schema coverage, existing output schema, and destructive annotation, the description covers everything needed for correct invocation: lease semantics, purge risk, success criteria, return counts, and a docs pointer. No critical gap remains.

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 100%, so the schema already documents both parameters well. The description reinforces that up_to_id bounds the acknowledgement range and mentions returned counts, but it does not add much parameter-level meaning beyond the schema.

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 uses a specific verb (acknowledge), a precise resource (database deltas up to up_to_id), and states the postcondition (releasing its lease). This clearly differentiates it from sibling tools like fetch_database_deltas and sync_records_to_database.

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 explicitly states when to use the tool—after successful application of deltas—and gives a strong when-not: never acknowledge unapplied or failed work. It points to the apply/ack workflow docs, though it does not name sibling alternatives directly.

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