replicate

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

The annotations already establish readOnlyHint=true, and the description only says it loads a dataset and guide, adding little beyond that. It fails to disclose material behaviors visible in the schema, such as as_handle caching a fitted result on the server and data_path accepting arbitrary URLs or files, so the description under-represents what the tool can actually do.

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 one clean, front-loaded sentence with no filler. It is appropriately brief, though it is arguably too sparse for a tool with eight parameters and several distinct behaviors, so it does not earn a 5.

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 complexity, the huge sibling list, and rich schema, a nine-word description is not enough for an agent to know when to call it, how to obtain a key, when to use custom data_path versus result_id, or that as_handle can fit and cache a result. The output schema and parameter docs compensate partially, but the high-level description still leaves critical orientation gaps.

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% and the schema already explains key, detail, data_path, as_handle, simulated, and the rest in detail, so the description does not need to repeat them. The description adds no parameter-level meaning beyond implying that key selects a dataset/guide, which matches the minimum-viable baseline.

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 uses a concrete verb ('Load') and names two resources: a famous dataset and a replication guide, so an agent can roughly tell this apart from structural-analysis tools like synth or regress. It does not explicitly name list_replications as the source of keys or clarify that 'famous dataset' is selected via the required key, which keeps it from 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?

No guidance on when to use replicate versus list_replications or other dataset-loading alternatives, and no mention of when to pass data_path versus result_id. An agent must infer the usage pattern from the schema's key description alone, which is not enough for a tool with this many siblings.

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