prom_generate_dashboards

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 only says 'Generate Grafana dashboards,' but does not explain what files or services are modified, whether a Prometheus instance is required, how the api_key is used, or what the output looks like. This is too thin for a generation tool with no safety annotations.

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 short sentence with no fluff, and the purpose is front-loaded. The '(Pro feature)' parenthetical is relevant context. However, the extreme brevity comes at the cost of missing behavior and parameter details, so it is concise but not fully structured.

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 output schema, no annotations, and only 50% schema coverage, this description is incomplete. An agent needs to know whether the tool reads from a Project directory, requires an API key, writes dashboards to Grafana, produces dashboard JSON files, or has prerequisites like Prometheus metrics. None of this is addressed.

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%, with only 'directory' documented as 'Project directory'. The description adds no meaning to either parameter, and api_key is completely unexplained. The phrase 'from metrics' hints at the data source but does not clarify how the directory or api_key participate in generating dashboards.

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 a specific verb ('Generate'), resource ('Grafana dashboards'), and input source ('from metrics'). It is clear enough to understand the core purpose, but it does not differentiate from the sibling tool grafana_generate_dashboard or specify whether 'metrics' means Prometheus metrics beyond 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?

No guidance is given about when to use this tool versus alternatives like grafana_generate_dashboard, monitor_setup_grafana, or prom_add_rules. The '(Pro feature)' hint implies some entitlement requirement, but no concrete usage context or exclusions are provided.

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