万忆知识空白

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

With no annotations, the description carries full burden; it discloses that the tool auto-records gaps when recall is weak, sorts list by hit count, requires gap_id+note for close, and explains the behavioral aim of confident-vs-honest responses. It stops short of describing persistence, auth, or side effects beyond recording gaps, but for a memory-management tool this is strong context.

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?

Four sentences, front-loaded with the metacognitive purpose, then dense but parseable operation specs. Every clause earns its place—no fluff. Technical version number and framing terminology are compact and meaningful for an advanced agent.

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 4 optional params, no output schema, and no annotations, this is nearly complete: it covers purpose, operations, parameter roles, and behavioral philosophy. It doesn't state what list/stats return structurally, but the description communicates intent well enough for selecting and invoking; remaining gap is minor.

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 coverage is 100%, so baseline is 3. The description adds meaning by tying each action to its purpose, clarifying that gap_id is for close and note is the supplement source, and that list sorts by hit frequency. This goes beyond raw schema descriptions meaningfully.

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 names a specific resource (knowledge gaps) and the three operations (list/close/stats) with clear verbs. It also distinguishes this tool from siblings like 万忆记忆自检 and 万忆召回记忆 by framing it as the 'knowing what you don't know' mechanism tied to retrieval weak spots.

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 explicitly states when to use the tool (when recall is too weak, when system should acknowledge weak inventory) and how it links to semantic vector retrieval. It doesn't explicitly say 'when not to use' or name alternatives, but the metacognitive framing and operation list imply usage boundaries clearly enough.

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