Objects List

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

The readOnlyHint annotation already establishes that this is a safe read operation. The description adds that it returns bounded summaries, which is useful pagination context, but it does not explain limit/offset behavior or other operational details, so it adds only moderate value beyond the annotation.

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 a single front-loaded sentence with no wasted words. Its brevity is appropriate structurally, even though the content is under-specified.

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 list tool with a required enum kind and optional pagination parameters, the description is too thin. An output schema exists so return values need not be described, but the input parameters and sibling alternatives are not adequately covered.

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 0%, so the description must carry parameter meaning, and it largely does not. 'Datasets and plans' loosely maps to some kind values, but it omits recipe_plan, experiment_plan, limit, and offset, leaving the enum and pagination parameters unexplained.

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 says it recovers saved datasets and plans after reconnecting, which gives a vague sense of the resource and action. However, it uses 'recover' rather than 'list', and it does not mention the recipe_plan and experiment_plan kinds exposed by the schema, nor does it distinguish this tool from siblings like object_get or recipes_list.

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?

The phrase 'after reconnecting' hints at one usage scenario, but there is no explicit when-to-use versus alternatives guidance. It does not mention object_get for single-object retrieval, nor any conditions or exclusions for using this listing tool.

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