get_think

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 of behavioral disclosure. It only states that the tool reads entries, but does not mention side effects (e.g., whether it is read-only), return format, permissions, or any limitations. This is a minimal disclosure for a tool with zero 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 a single, short sentence that is front-loaded with the core purpose. It contains zero wasted words and is appropriately concise for a simple read operation.

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 one optional parameter, the description is minimally sufficient but incomplete. It does not describe the return format or any pagination behavior, and it does not clarify the relationship to the sibling tool 'read_think_md'. Given the absence of an output schema and annotations, more context would be expected to ensure correct usage.

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 input schema covers 100% of the parameters, including a description for 'count'. The tool description adds no additional meaning beyond the schema, so the baseline of 3 applies. There is no extra context about parameter usage or constraints.

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 verb '读取' (read) and the resource 'think.md 的最新反思条目' (latest reflection entries from think.md). It specifies what the tool does. However, it does not differentiate from the sibling tool 'read_think_md', which appears to have a similar purpose, so it misses the opportunity to distinguish itself.

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 gives no guidance on when to use this tool versus alternatives like read_think_md or write_think. It does not state conditions for selection or any exclusions, leaving the agent to infer usage from the name alone.

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