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

No annotations provided, so description fully bears burden; discloses mutation (cleans, normalizes, records), metadata stamping, and billing. No contradictions.

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 sentences, front-loaded with action, each adds value: operation, metadata, usage context, billing. No fluff.

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 no output schema and moderate complexity, description covers operation, metadata, and usage well; could mention return or errors but not required.

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 both params described; description adds max size for message but little beyond schema, meeting baseline.

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?

Uses specific verb 'hand off' plus resource 'another agent', details actions (cleans, normalizes, stamps metadata), and distinguishes from sibling tool get_usage_stats.

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 says 'Use this when passing work or context from one agent to the next in a multi-agent pipeline.' and mentions it is metered/billable; no explicit exclusions but sibling is for stats, no overlap.

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