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status_dashboard

Launch a local web dashboard that streams live KPIs, secret tables, and audit events via Server-Sent Events, offering a richer visual interface for monitoring system state.

Instructions

[dashboard] Start a local web dashboard (http://127.0.0.1:PORT) that streams live KPIs, secret tables, manifest gaps, hooks, audit events, and anomalies via Server-Sent Events. Use when an operator (or an agent on behalf of one) wants a richer visual surface than chat output; prefer health_check / analyze_secrets for one-shot text summaries inside the conversation. Side effect: binds an HTTP server on the requested port (one process-wide instance — re-running returns the existing URL instead of starting a second server). Never exposes secret values. Returns the URL string to open in a browser.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNoTCP port to listen on (default 9876). Pick another port if 9876 is already in use; the call fails if binding errors.
Behavior5/5

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

Discloses key behaviors: binds HTTP server, one process-wide instance (re-running returns existing URL), never exposes secret values, returns URL string. Also notes failure on port binding errors. No annotations exist, so description carries full burden.

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

Conciseness5/5

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

The description is concise yet comprehensive, with a clear front-loaded purpose followed by usage guidelines and behavior notes. Every sentence adds value without redundancy.

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

Completeness5/5

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

Given no output schema, the description explains the return value (URL string). It covers the tool's behavior, side effect, and safety (no secret exposure). Context signals like sibling tools and parameter count align with a complete definition.

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

Parameters4/5

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

Schema coverage is 100% for the single parameter 'port'. The description adds context beyond the schema by noting to pick another port if 9876 is in use and that binding errors cause failure, which the schema description does not mention.

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

Purpose5/5

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

The description starts with a clear verb 'Start' and specifies the resource as a local web dashboard streaming live data. It distinguishes from siblings by contrasting one-shot text summaries (health_check/analyze_secrets) with the richer visual surface.

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

Usage Guidelines5/5

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

Explicit usage guidance: use when an operator wants a richer visual surface, and prefer health_check/analyze_secrets for one-shot text summaries. Also mentions side effects like singleton server and port binding behavior.

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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