superset_dashboard_list

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it makes an API request to a specific endpoint, results are paginated, and it returns a dictionary with specific fields (id, title, url, metadata). This covers the read-only nature, output format, and pagination behavior, though it doesn't mention authentication requirements or rate limits.

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 well-structured and appropriately sized. It front-loads the core purpose in the first sentence, adds implementation details in the second, and specifies return values in the third. Every sentence adds value without redundancy, making it efficient and easy to parse.

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 low complexity (0 parameters, no annotations, no output schema), the description is reasonably complete. It explains what the tool does, how it works (API endpoint), behavioral traits (pagination), and return format. However, it lacks details on authentication context or error handling, which could be relevant for a tool interacting with an external API.

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?

The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of inputs. The description adds no parameter information, which is appropriate since there are none. Baseline for 0 parameters is 4, as the description doesn't need to compensate for any gaps.

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 clearly states the tool's purpose as 'Get a list of dashboards from Superset' with the specific verb 'Get' and resource 'dashboards'. It distinguishes from siblings like superset_dashboard_get_by_id by specifying it retrieves 'all dashboards' rather than a single one. However, it doesn't explicitly differentiate from superset_chart_list or other list tools beyond mentioning dashboards.

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 implies usage context by stating it retrieves 'all dashboards the current user has access to view', suggesting it should be used when needing a comprehensive list. However, it provides no explicit guidance on when to use this versus alternatives like superset_dashboard_get_by_id for single dashboards or superset_chart_list for charts. No exclusions or prerequisites are mentioned.

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