grafana_add_panels

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

With no annotations, the description carries the full burden of behavioral disclosure. It communicates that the tool modifies a dashboard by adding panels and variables, but it does not reveal side effects, whether changes overwrite existing content, permission requirements, idempotency, or the role of api_key. This is a meaningful gap for a mutation tool.

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 filler words. It is efficient but arguably too sparse, omitting useful context that would make the tool more actionable.

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 there are no annotations and no output schema, the description should provide substantially more context. It fails to explain how the dashboard is located, what api_key authorizes, what kinds of panels/variables are added, and whether the operation is additive or replaces existing elements.

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 50%: directory is described, while api_key is undocumented. The description adds no clarifying meaning for either parameter, so an agent cannot determine what api_key is used for or how the directory relates to the dashboard being modified.

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 (add) and resource (dashboard panels and variables), making the core purpose understandable. However, it does not explicitly name Grafana or differentiate itself from closely related siblings like grafana_generate_dashboard or grafana_add_alerts, so the agent must infer the exact scope from the tool name.

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 use this tool versus alternatives such as grafana_generate_dashboard or grafana_add_alerts. The description provides no preconditions, no mention of requiring an existing dashboard, and no indication of what directory or api_key are used for.

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