get_publication_datasets

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

With no annotations, the description carries the burden of indicating safety. 'List' clearly implies a read‑only operation with no side effects. It adds workflow context but does not mention potential rate limits or auth requirements, though these are not critical for a simple list 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?

The description is two sentences, front-loaded with the main purpose, and the second sentence provides efficient workflow guidance. No redundant information.

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 single‑parameter tool with no output schema, the description tells the agent what the tool does, how to get the input, and what to do next. It fully equips the agent for correct invocation.

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 100%, and the description reinforces the source of the parameter by stating to use it after search_education_statistics. The schema itself describes publication_id as 'from search_education_statistics', so the description adds complementary context.

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 states a specific action ('List the available datasets') on a specific resource ('a DfE Explore Education Statistics publication'). It clearly distinguishes itself from sibling tools like get_dataset_metadata (which explores filters/indicators) and query_dataset.

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 description explicitly provides a workflow: use after search_education_statistics and before get_dataset_metadata. This tells the agent exactly when to use this tool relative to alternatives.

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