analyze_entropy

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

No annotations are provided, so the description must carry the full burden. It discloses the entropy threshold interpretation (>5.0 suggests encrypted data) but does not describe return values, side effects, or how session/stream data is processed.

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 concise and front-loaded: the first sentence states the purpose, followed by a brief use-case list. The '【CTF必备】' prefix adds minor noise but is negligible.

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 no output schema and no annotations, the description lacks information about what the analysis returns (e.g., entropy value, boolean flag) and how session_id/stream_index relate to the analysis. The schema covers parameter basics, but the description does not fully compensate for absent output details.

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 covers all three parameters with descriptions. The tool description adds meaning to 'threshold' by specifying >5.0 indicates high entropy/encrypted data, which goes beyond the schema's generic 'High entropy threshold' label.

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 analyzes Shannon entropy of data to detect encryption or compression, with a specific threshold (>5.0). It distinguishes itself from siblings like detect_suspicious or decode_stream by focusing on entropy analysis specifically.

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 explicitly lists when to use the tool: user suspects encrypted payload, after finding random-looking data, and before attempting decryption. It does not mention alternatives or exclusions, but the provided use cases give clear guidance.

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