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perfmon_generate_dashboard

Generate a performance dashboard from a project directory to visualize key metrics. Turn code analysis into an actionable performance overview.

Instructions

Generate performance dashboard (Pro feature)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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 only adds the 'Pro feature' context, which suggests licensing/entitlement constraints, but it fails to disclose what the generation does, whether it overwrites existing dashboards, what permissions are needed, or what output is produced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and contains no fluff, but it is under-specified rather than appropriately concise. The one-line format is efficient, but it omits context that should accompany a generate/mutate tool, making it minimally viable rather than well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a generation tool with no annotations, no output schema, and an unexplained api_key parameter, the description is far too incomplete. An agent cannot determine what the dashboard will look like, where it will be written, whether prior perfmon setup is required, or what success/failure looks like.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, with 'directory' documented as 'Project directory' and 'api_key' left unexplained. The description adds no information about either parameter, so the agent gets no help understanding how the api_key relates to the Pro feature or how the directory is used.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Generate performance dashboard', which is specific enough to convey the basic action. However, it does not differentiate from sibling dashboard tools like grafana_generate_dashboard, prom_generate_dashboards, or jobdash_generate_ui, so it lacks sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus the many dashboard-generation siblings. The parenthetical 'Pro feature' hints at an entitlement requirement, but there is no explicit when-to-use, prerequisites, or alternative routing.

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

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