verify_analysis

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds meaningful behavioral context by specifying exactly what is checked: fingerprint, metadata consistency, and weight conservation. This goes beyond repeating annotation fields and tells the agent what verification means in practice.

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 one concise, front-loaded sentence. It starts with the action and immediately indicates the verification target and its workflow position, with no redundant or filler content.

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 verification tool, the description successfully communicates what will be verified and when it should happen. Annotations cover read-only and idempotent behavior, and an output schema exists, so return-value explanation is not required. It could be more complete by naming which sibling verification tools it complements or by giving an example, but it is largely sufficient.

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 schema has one required string parameter, analysis_id, with zero description coverage. The tool description references 'stored Analysis', strongly implying analysis_id is that identifier, which is adequate for a single clear parameter. However, the description does not explicitly define the parameter format or how the ID relates to output, though the output schema may reduce the need for that detail.

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 names a specific verb ('verify') and a specific resource type ('stored Analysis fingerprint, metadata consistency, and weight conservation'). It also includes a clear workflow context ('before Agent interpretation'). This distinguishes it from sibling tools like verify_trace_analysis by focusing on the stored Analysis object's integrity.

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 gives a clear when-to-use signal: run this verification before Agent interpretation. However, it does not explicitly mention alternatives or state when not to use this tool, leaving some comparative routing to inference.

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