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Rootly MCP server

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by rootlyhq

Update Dashboard

update_dashboard
Idempotent

Update a specific dashboard by ID, including its name, icon, color, visibility, description, owner, date range, grouping period, and auto-refresh setting.

Instructions

Update a specific dashboard by id

Input Schema

NameRequiredDescriptionDefault
idYesRequired. ID of the dashboard (fills `{id}` in /v1/dashboards/{id}). Pass it as `id` -- this tool has no `dashboard_id` argument.
dataYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.4.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it does not say whether omitted attributes are preserved or cleared, whether the update is a merge or replace, or whether the caller needs write permission on the dashboard's owner.

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

Conciseness4/5

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

A single front-loaded sentence with no filler, and the identifying key ('by id') appears immediately. Its brevity is efficient but tips into under-specification rather than crispness.

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?

This is a mutation tool taking a nested JSON:API payload, yet the description never explains merge semantics, required sub-fields, or ownership constraints. An output schema exists so return values need not be described, but the mutation behavior itself remains undocumented.

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%, and the nested `data.attributes` object is where the real semantics live (partial vs full replacement, null-clearing behavior). The description's 'by id' merely restates the `id` parameter that the schema already documents in far more detail, adding nothing about the payload shape.

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?

States a specific verb and resource ('Update a specific dashboard by id'), so the agent knows exactly what is mutated. It does not distinguish itself from the adjacent siblings create_dashboard, get_dashboard, or update_dashboard_panel, which share the same resource.

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 guidance on when to use this versus update_dashboard_panel, create_dashboard, or get_dashboard, and no prerequisites (e.g. permissions or that the dashboard must already exist) are mentioned. The agent must infer the selection criteria entirely.

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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