evaluate_context_window

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does not indicate whether the tool is read-only or has side effects, nor does it describe the return value or any impact on state. This is a significant transparency gap.

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?

The description is a single, concise sentence with no fluff or redundancy. It is front-loaded with the core purpose ('Evaluate and rank') and efficiently conveys the key constraint.

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?

The tool has moderate complexity (5 parameters) but no output schema or annotations. The description omits critical information such as the return format, side effects, and when to use it. This leaves the agent without enough context to fully understand the tool's behavior.

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 provides descriptions for all 5 parameters (100% coverage), so the baseline is 3. The description adds only the phrase 'within token budget', which aligns with the budget_tokens parameter, but provides no additional semantic detail 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 clearly states the action ('Evaluate and rank') and the object ('moments for optimal context injection within token budget'). It is specific about the resource and the budget constraint, but it does not differentiate from sibling tools like context_relevance_score or predict_agent_needs, which may perform similar ranking.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of use cases, preconditions, or scenarios where this tool is preferred over siblings like generate_context_handoff or context_relevance_score.

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