check_section_anomalies

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

No annotations are provided, so the description carries the full burden. It adequately describes the types of anomalies checked, but lacks details on whether the tool modifies state, requires specific permissions, or any side effects. It does not contradict annotations (none exist).

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 sentence that efficiently conveys purpose and specifics. It is front-loaded and each part earns its place. Slightly more structured formatting could improve readability but is not necessary.

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 2 parameters, no output schema, and no annotations, the description covers the core functionality. However, it lacks information about the output format or what the module parameter defaults to, and could benefit from brief examples or return type hints.

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 100% (both sessionId and module are described in the schema). The description does not add meaning beyond the schema, so a baseline score of 3 is appropriate.

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 checks PE sections for anomalies (packing, injection, tampering) and lists specific indicators: writable+executable, unusual names, zero raw-size with non-zero virtual-size, high entropy. This distinguishes it from sibling tools like detect_packing or analyze_suspicious_apis, which cover overlapping but distinct analysis areas.

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 implies usage for PE file analysis but does not explicitly state when to use this tool vs alternatives like detect_packing or analyze_suspicious_apis. No guidance on prerequisites or when not to use is provided.

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