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

With no annotations provided, the description carries the transparency burden. It discloses that the tool returns both current and superseded artifacts, which is non-obvious behavior. It also implies a read-only temporal query nature. It lacks explicit safety/permission details, but for a reconstruction tool, the response behavior is well-described.

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 exceptionally concise—two sentences—and front-loaded with the core purpose. Every clause adds value: the core action, the return behavior, and a concrete usage example. No filler or redundancy.

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 that an output schema exists, return values need not be detailed. The description provides essential context for temporal reasoning and comparison, and it orients the agent toward the tool's niche. However, the lack of parameter semantics slightly reduces completeness, though the core use case is well-covered.

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 0%, so the description must compensate. It indirectly covers 'at_timestamp' (specific point in time) and 'include_superseded' (superseded artifacts), but it never mentions the required 'decision_id' parameter or the optional 'include_confidence_landscape'. This leaves agents without sufficient guidance for all parameters.

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 reconstructs the system's knowledge at a specific point in time, using a specific verb ('reconstruct') and resource ('knowledge state'). It explicitly distinguishes from siblings by highlighting temporal reasoning and comparison of multiple timestamps, making the purpose unmistakable.

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 provides clear usage context with concrete examples ('what was true in January?' vs 'what is true now?') and suggests comparing two calls to see changes. It does not explicitly name alternative tools or exclusions, but the guidance is specific enough to direct appropriate use.

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