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sandraschi

Observability MCP Server

manage_grafana_dashboards

List, create or update, get, and delete Grafana dashboards by UID or dashboard JSON to support observability setup and maintenance.

Instructions

Manage Grafana dashboards.

Operations:

  • list: List all dashboards

  • create: Create or update a dashboard (requires 'dashboard_json')

  • delete: Delete a dashboard by UID (requires 'uid')

  • get: Get dashboard JSON by UID (requires 'uid')

Input Schema

NameRequiredDescriptionDefault
uidNo
operationYes
dashboard_jsonNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full burden; it does important work by disclosing that `create` is actually an upsert ("Create or update"), which is non-obvious. However, it never states that `delete` is irreversible or what it destroys, nor permission/auth requirements. Output schema exists, so return-shape disclosure is not required.

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?

One lead sentence plus a bulleted operation list, front-loaded with the general purpose and then scannable per operation. Zero filler; every line maps to a distinct callable behavior.

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 3-parameter multi-operation tool with an output schema, the description covers all parameters and all operations adequately. The remaining gap is that destructive semantics of `delete` and any auth prerequisites go unstated.

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 0% and `operation` is an unconstrained string, so the description is the only place the valid operations and their parameter pairings are defined — a substantial addition over the schema. It still omits the expected UID format and the required shape of `dashboard_json`, but the operation-to-parameter mapping is clearly conveyed.

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+resource ("Manage Grafana dashboards") and enumerates the four supported operations, which is essential because the `operation` param has no enum in the schema. It does not distinguish itself from the sibling `provision_standard_dashboards`, which could plausibly be confused with the `create` path.

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

Usage Guidelines4/5

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

Each operation carries its prerequisite ("requires 'dashboard_json'", "requires 'uid'"), giving clear per-operation invocation context. It stops short of saying when to pick this tool over `provision_standard_dashboards` or `manage_grafana_datasources`, so no exclusions or alternatives are offered.

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