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

Annotations already establish readOnlyHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds only that the inspection covers outcome changes, source coverage and missing data, which hints at return content but says nothing about side effects on sandbox state, whether it mutates tracking, or how results are shaped.

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?

One short sentence with no filler, and the object of inspection is listed up front. Brevity is fine, though the terseness is partly what leaves the gaps noted elsewhere.

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?

For a tool with an undocumented required key, no output schema and no explanation of what "synthetic outcome changes" or "source coverage" mean, the definition is too thin to call reliably. An agent knows it reads something about a sandbox but not what to expect back or how to interpret it.

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 single parameter sandbox_key has 0% schema description coverage, and the description never mentions it, its format, or where it comes from (presumably from reserve_sandbox_start). With low coverage the description is expected to compensate, and it does not.

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?

"Inspect synthetic outcome changes, source coverage and missing data" gives a verb and a list of things examined, so the agent knows roughly what the tool surfaces. But "evaluate" is not clearly distinguished from siblings like reserve_sandbox_verify_outcome or reserve_sandbox_trace, and the phrase "synthetic outcome changes" is opaque without knowing the sandbox model.

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?

There is no statement of when to call this versus the many sibling tools, no preconditions (e.g., sandbox must be started, outcomes already recorded), and no exclusions. The agent must infer usage entirely from the name and the noun list.

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