acedatacloud_pick_random_materials

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

No annotations are provided, so the description bears full responsibility. It discloses that it includes full content and is non-destructive (read-only implied), but it lacks details on side effects, rate limits, or prerequisites. For a random selection tool, more transparency about the underlying randomness and data access is needed.

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 short and focused, with two sentences that efficiently convey purpose and context. It could be slightly more structured, but there is no redundancy.

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 simplicity and the availability of an output schema, the description covers core functionality. However, it does not explain what 'ready-to-post' means or how filters interact with randomness, leaving some gaps for complex use cases.

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 schema already documents parameters well. The description adds no new semantic beyond the example, so it meets the baseline but does not enhance parameter understanding.

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 picks random ready-to-post materials with full content. It gives a concrete example ('grab a random Zhihu post to publish'), which distinguishes it from search_materials and get_material.

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 frames itself as a convenience wrapper over search, suggesting use when random selection is needed. The example hints at a use case. However, it does not explicitly mention when not to use it or compare to other tools like search_materials.

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