superset_dashboard_update

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions making a PUT request to a specific API endpoint, which implies a write operation, but doesn't disclose critical traits: whether this requires authentication, what permissions are needed, if changes are reversible, rate limits, or error handling. The description adds minimal context beyond the basic update action.

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 appropriately sized with three clear sections: purpose statement, endpoint reference, and parameter/return explanations. Every sentence adds value, though the endpoint detail could be considered slightly technical. The structure is front-loaded with the core purpose, making it efficient for an agent 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 this is a mutation tool with no annotations, 0% schema description coverage, no output schema, and nested objects in parameters, the description is incomplete. It lacks information about authentication requirements, error responses, what happens to unspecified fields during update, and the structure of the returned dictionary. For a tool that modifies data, this creates significant uncertainty for an agent.

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 schema provides no parameter documentation. The description compensates by explaining that 'dashboard_id' is the ID to update and 'data' can include specific fields like dashboard_title, slug, owners, position, and metadata. However, it doesn't provide format details, constraints, or examples for these fields, leaving significant gaps in parameter understanding.

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 verb 'Update' and resource 'existing dashboard', making the purpose specific and understandable. It distinguishes from sibling tools like superset_dashboard_create and superset_dashboard_delete by focusing on modification rather than creation or deletion. However, it doesn't explicitly differentiate from superset_chart_update or other update tools in the sibling 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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing dashboard ID), compare with superset_dashboard_create for new dashboards, or explain when to use superset_dashboard_update versus superset_chart_update for related components. The agent must infer usage from the tool name alone.

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