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sciple-idp

Sciple Platform MCP Server

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by sciple-idp

create_dashboard

Create an observability dashboard with a unique name and optional description to monitor system metrics and track operational health.

Instructions

Create a new observability dashboard.

Args: name: Dashboard display name (1-200 characters, must be unique within tenant). description: Optional human-readable description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.1/5.0
Behavior3/5

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

Annotations are absent, so the description carries the burden. It adds the uniqueness constraint (name must be unique within tenant) and length limit, which are behavioral constraints beyond the schema. However, it does not disclose permissions, failure behavior on duplicate names, or side effects beyond creation.

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 two sentences plus an args block, with the core purpose stated up front. No redundant filler.

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

Completeness4/5

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

For a simple 2-parameter create tool with an output schema available, the description covers the parameters and the core action. It stops short of usage guidance and side-effect disclosure, but the output schema handles return values.

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

Parameters5/5

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

With schema description coverage at 0%, the description compensates by documenting both parameters: name has length and uniqueness constraints, and description is optional. This goes beyond the schema's bare type definitions.

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 'Create a new observability dashboard,' using a specific verb and resource. This clearly distinguishes it from sibling CRUD tools like get_dashboard, update_dashboard, and delete_dashboard.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives, but the 'Create' action and 'dashboard' resource imply it is for adding a new dashboard, while siblings handle retrieval/update/delete. No exclusions or prerequisites are provided.

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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