add_knowledge_note

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

There are no annotations, so the description carries the full burden. It discloses a key behavioral trait: notes persist and are automatically loaded when the file is next opened to prevent information loss. It also includes guardrails against fabricating file paths and about closing session_id, though the session_id rule is not clearly connected to this tool's parameters.

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 overlong for a simple two-parameter tool and bundles an umbrella reverse-engineering tag, trigger scenarios, and usage rules with emoji headings. Some content, especially the session_id rule, is unrelated to this tool's exposed parameters and should have been omitted; the key persistence behavior is buried in the middle.

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?

The description gives enough for the core call: two required params, the persistent side effect, and examples. But it introduces a problematic requirement to confirm an absolute file path and close session_id even though neither appears in the input schema, leaving ambiguity about how the target file/session is supplied and what the tool returns.

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%, so the baseline is 3. The description adds an example of a note ('AES Key 生成函数...') and mentions relevant addresses, but these largely repeat or illustrate what the schema already states rather than adding new parameter semantics.

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 action: 向持久化知识库添加笔记 (add a note to the persistent knowledge base), and gives concrete examples such as recording keys and algorithm principles. No sibling tool covers persistent note storage, so it is easy to distinguish from the r2 analysis commands.

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?

It provides explicit 'Use when' context for reverse-engineering, disassembly, radare2, and vulnerability research, and adds a trigger scenario saying it must be prioritized for those topics. However, it does not state when not to use it or name an alternative tool, and the broad 'must prioritize' phrasing could over-trigger invocation.

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