fluig_dataset_list

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

No annotations provided, so description carries full burden. It only states listing and optional filter, with no mention of side effects, read-only nature, or constraints. Minimal transparency for a tool that is likely a read operation.

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?

Two sentences, no filler, front-loaded with main action. Every sentence earns its place. Highly concise.

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 simple listing tool with one parameter and no output schema, description is nearly complete. Could mention if pagination exists or if it returns all datasets, but the context is sufficient for a basic list operation.

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 has one optional 'filter' parameter with simple description. Description adds meaningful context: filter applies to both id and description fields, which is not in the schema. Adds value beyond schema.

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?

Description clearly states the tool lists datasets with id and type, and optionally filters by substring over id and description. This distinguishes it from siblings like fluig_dataset_get (retrieves single dataset) and fluig_dataset_delete.

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?

Description implies usage (list datasets) but does not explicitly state when to use this tool versus alternatives like fluig_dataset_get, fluig_dataset_structure, or search-related tools. No when-not or explicit context provided.

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