grafana_generate_dashboard

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It only says 'Generate Grafana dashboard JSON' and fails to mention whether the tool writes a file, returns JSON inline, requires an api_key, or mutates an existing dashboard. The agent cannot anticipate side effects or output behavior.

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 clear sentence with no filler or redundancy. It is appropriately front-loaded and easy to parse, though its brevity comes at the cost of completeness.

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 tool with no annotations, no output schema, and an undocumented api_key parameter, this description is too thin. It does not explain how the directory is used, what api_key enables, what the generated JSON contains, or what the agent should expect as a result. The presence of many similar Grafana/dashboard siblings increases the need for more context.

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 only 50%: 'directory' is documented as 'Project directory', but 'api_key' has no description. The tool description adds no meaning for either parameter, leaving the api_key parameter especially underspecified and the agent without guidance on how these parameters relate to dashboard generation.

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 clear verb ('Generate') and resource ('Grafana dashboard JSON'), making it obvious the tool produces Grafana dashboard JSON. It does not explicitly differentiate itself from related siblings like grafana_add_panels or prom_generate_dashboards, but the core purpose is understandable.

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?

There is no guidance on when to choose this tool over alternatives such as grafana_add_panels, monitor_setup_grafana, or prom_generate_dashboards. The description provides no context about typical use cases, prerequisites, or exclusions, leaving the agent to guess.

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