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singleops-mcp-server

by Zeekeey-jpeg

Get dashboard by id

singleops_read_get_dashboard
Read-onlyIdempotent

Retrieve a SingleOps dashboard by its ID to view its title, layouts, owner, and creation or update timestamps in JSON or readable output.

Instructions

Get dashboard by id. (GET /api/v1/dashboards/{id}) Inferred from the SingleOps web app's own traffic; confirm results. Returns JSON with keys: id, account_id, title, layouts, created_at, updated_at, user_id.

Input Schema

NameRequiredDescriptionDefault
idYesPath parameter {id} (record id).
extra_queryNoAny additional query parameters.
response_formatNoOutput format: "markdown" (default, readable tables) or "json" (full raw response).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely new context: the route was inferred from observed traffic and results should be confirmed, which warns the agent the behavior may be approximate. It stops short of mentioning auth or pagination, so a 4 rather than a 5.

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?

Three compact clauses: the purpose, the concrete endpoint, and the reliability caveat plus return keys. Everything is front-loaded and no sentence is 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?

With no output schema, the description compensates by enumerating the returned JSON keys (id, account_id, title, layouts, timestamps, user_id), which is enough for an agent to plan around the result. Combined with the read-only annotations, the definition is nearly complete; only auth and error behavior are absent.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents id, extra_query and response_format, making 3 the baseline. The description adds nothing about parameter meaning beyond the implied record id, so it does not exceed that baseline.

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 specific verb+resource ('Get dashboard by id') and pins it down with the concrete endpoint GET /api/v1/dashboards/{id}, so an agent knows exactly what resource is fetched. It does not explicitly differentiate itself from nearby siblings like singleops_read_list_widgets, so it falls just short of 5.

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?

There is no statement of when to use this over alternatives, no prerequisites, and no exclusions. The note 'Inferred from the SingleOps web app's own traffic; confirm results' is a reliability caveat, not usage guidance, so the agent is left to infer the call context.

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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