observability_generate_dashboards

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

No annotations provided, so description carries full burden. It discloses the generation process, required validation, and output structure ({dashboards: ...} plus module list). It does not mention side effects, rate limits, or destructive actions, but for a generation tool this is sufficient.

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 with a summary, process explanation, and parameter list. It is comprehensive without being verbose, though the parameter list could be slightly more concise. Still, it earns its length.

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 complexity (4 parameters, optional, no enums, with output schema), the description fully covers necessary information: input requirements, behavior, and return format. It references related tools (cfg_list_scenarios, cfg_generate) for 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 0%, but the description provides detailed parameter explanations: scenario (from cfg_list_scenarios), params (same as cfg_generate), deployment_name (slug with default), extra_tags (additional tags). This adds significant meaning beyond the schema's type-only information.

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: 'Render a scenario and synthesize matching Grafana dashboards.' It specifies the verb (render/synthesize) and resource (scenario and dashboards), and distinguishes from siblings by focusing on scenario rendering and panel category production.

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 explains the process (validates params, parses modules, produces dashboards per category) but does not explicitly state when to use this tool versus alternatives like observability_generate_dashboards_from_cfg. Usage is implied through parameter references (scenario from cfg_list_scenarios, params from cfg_generate), but no when-not-to-use guidance.

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