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lukleh

mcp-read-only-grafana

by lukleh

list_annotations

Retrieve Grafana annotations for a specified time range, filtering by dashboard ID or tags to audit events and track changes.

Instructions

List annotations for a time range.

Args: connection_name: Name of the Grafana connection time_from: Start time for annotations time_to: End time for annotations dashboard_id: Filter by dashboard ID tags: Filter by tags

Returns: JSON string with list of annotations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNo
time_toNo
time_fromNo
dashboard_idNo
connection_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It implies a read-only list operation but does not mention side effects, authentication needs, rate limits, or potential errors.

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 brief and free of irrelevant content. It states the action, lists the arguments, and indicates the return type in a compact, well-organized structure.

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?

For a five-parameter tool with no annotations, the description is too sparse. It lacks essential context such as time format, filtering behavior, pagination or limits, and any output schema details beyond a generic JSON string.

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?

The description repeats parameter names but adds no detail beyond them. It does not explain the expected format for time_from/time_to, how tags are matched, or the meaning of dashboard_id, leaving schema coverage effectively zero.

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 clearly states the tool lists annotations for a time range, using a specific verb and resource. It is distinguishable from the sibling tools, none of which focus on annotations.

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?

No guidance is provided about when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or scenarios where this tool is preferable over sibling tools.

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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