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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds the meaningful behavioral claim 'sub-second deterministic' plus a price point, which helps an agent weigh cost and latency, but it doesn't explain determinism caveats or whether outputs are cached.

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?

A single compact sentence that front-loads the three capabilities and appends cost. Efficient, though the three capabilities are compressed enough that their boundaries are unclear.

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?

An output schema exists, so return values need not be explained, and the annotations plus description together cover safety, latency, cost, and purpose. The main gap is the absence of routing guidance among a very large sibling set.

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% and both parameters are documented, so the baseline of 3 applies. The description adds nothing about how 'systemPrompt' shapes routing versus summarization, nor about prompt length limits or formatting expectations.

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 specific capabilities (text classification, structured summarization, task routing) with a distinguishing performance/cost profile. It doesn't differentiate itself from siblings like extract_json or data_feeds, which occupy adjacent text-processing territory, so the agent must infer routing.

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?

No when-to-use or when-not-to-use guidance beyond the implicit 'cheap and fast' framing. Nothing says when to prefer extract_json or data_feeds instead, and no prerequisites or input-shape constraints are given.

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