index_papers

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

With no annotations, the description carries the full burden and does well: it discloses that no Qwen/cloud LLM call occurs, that unchanged papers reuse their existing index (idempotent behavior), that the first run downloads an embedding model, and what is returned (chunk counts and timing). Missing only auth/permission or failure-mode details.

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 short sentences, front-loaded with the action and scope, then the key behavioral facts. Every sentence adds distinct information with no padding.

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?

No output schema exists, but the description tells the agent what comes back (chunk counts and timing) and what preconditions apply (papers must be downloaded, first run downloads a model). Complete enough for a one-param indexing tool, though permission/error behavior is unstated.

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 0% for the single param, but the description compensates by stating the IDs must be for already-downloaded papers and that the batch size is bounded to 1–100. That is meaningful semantics the bare `paper_ids: array[string]` schema does not convey.

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 verb and resource (index paper IDs into local Qdrant) and pins the underlying stack (LlamaIndex + BGE embeddings), which is far more than a restatement of the name. It doesn't explicitly name a sibling to contrast with, so it stops short of a 5.

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?

"Preferred fast path" signals this is the default indexing route and implicitly contrasts with a slower alternative, but no alternative tool is named and no when-not condition is given. Usage is implied rather than spelled out.

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