analyze_breach_readiness

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

No annotations exist, so description must disclose behavioral traits. It only lists what it assesses without mentioning side effects, authentication, rate limits, error handling, or output behavior. Minimal behavioral disclosure.

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?

Description is concise and structured: one-sentence purpose, bullet list of assessments, then parameter docs. No wasted words.

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?

Given the tool's specialized nature and the presence of an output schema, the description covers purpose, parameters, and assessments adequately. Minor gap: no mention of typical return values or results, but output schema likely handles that.

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%, so description fully compensates by providing clear meaning for each parameter: code as application code content, language with examples (python, typescript, etc.), and file_path as optional reporting path.

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?

Description clearly states it analyzes code for breach notification readiness under GDPR Art. 33-34, and lists specific assessment areas (logging, alerting, incident tracking, etc.). This distinguishes it from siblings like analyze_application_code and analyze_code_ast.

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 does not explicitly state when to use this tool versus alternatives. Usage is implied through GDPR context, but no 'when not to use' or comparative guidance is provided.

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