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

No annotations are provided, so the description carries the transparency burden. It does disclose a key behavioral trait: reward amount changes are validated against performance data. This is useful, but it omits other behaviors such as side effects, permission requirements, or what happens if validation fails. The disclosure is partial, not comprehensive.

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 concise sentences, with the first stating purpose and the second adding critical validation behavior. Every sentence earns its place, no fluff or repetition. Front-loaded and efficient.

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 no output schema and no annotations, the description should explain return values and side effects, but it does not. It does cover a key caveat (validation against performance data), which is helpful. The tool is relatively simple with complete schema coverage, so this is adequate but not fully complete. There is a gap regarding the response format or error behavior when validation fails.

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?

The input schema has 100% coverage of parameters with clear descriptions, so the baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides. It mentions 'reward amounts' but that maps directly to rewardAmount in the schema, adding no new insight.

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 clearly states the tool's action: 'Update an existing reward event's configuration.' This is a specific verb+resource that distinguishes it from sibling tools like create_event (create) and update_perk (perk vs. event). The word 'existing' highlights it's for modification, not creation.

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?

The description implies usage when modifying an existing reward event, but does not explicitly state when to use this tool versus alternatives. No mention of when not to use it or references to sibling tools like create_event for new events. Guidance is implicit rather than explicit.

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