athena_qhug_kernel_analyze

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

With no annotations, the description carries the full burden. It adds useful behavioral context ('exact', 'No optimization is invented'), but it does not disclose whether the operation is read-only, what inputs are required, how errors are handled, or what the output contains. This is minimal transparency for a tool with no structured annotation support.

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 two sentences, front-loaded with the main verb and object, and contains no filler. The second sentence adds a meaningful constraint. It is concise, though perhaps too sparse for the tool's complexity.

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?

This is a complex, domain-specific tool with five parameters, no output schema, and no annotations. The description fails to explain parameter semantics, expected relationships between conflicts and dependencies, or the practical context of using kernel analysis. It is far from complete.

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%, yet the description names none of the five parameters (invalid, patches, conflicts, dependencies, neutral_excluded). The only indirect hint is 'patch kernel' loosely mapping to 'patches', but the meaning and relationships of the other four parameters are entirely unexplained.

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 uses a specific verb ('Analyze') and names a precise resource ('Boolean QHUG patch kernel') and outcome ('exact primal-graph components and structural-free coordinates'), which clearly distinguishes it from optimization-oriented siblings like athena_qhug_pareto_solve. However, it does not explicitly contrast itself with sibling tools such as athena_qhug_decomposition_verify.

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 when-to-use guidance is provided. The phrase 'No optimization is invented' hints that this is not an optimization tool, but the description never states when to prefer this over alternatives or what prerequisites/context are required.

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