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doitintl

DoiT MCP Server

Official
by doitintl

create_annotation

Destructive

Add a new annotation to mark a specific date or event in cost data. Provide content and timestamp; optionally associate with reports and labels.

Instructions

Use this when the user wants to add a new annotation to mark a specific date or event in cost data. Ask the user to confirm the annotation details before executing. Do NOT use this for creating labels (use create_label) or alerts (use create_alert).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe content of the annotation (required, non-empty).
timestampYesThe date associated with the annotation in ISO 8601 date-time format (required).
reportsNoList of report IDs to associate with the annotation.
labelsNoList of label IDs to associate with the annotation. Labels must already exist.
Behavior4/5

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

Annotations already indicate readOnlyHint false and destructiveHint true, but the description adds the valuable context to ask user for confirmation, mitigating the potential destructive nature. No contradiction with annotations.

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?

Two sentences convey purpose, usage boundaries, and a confirmation step with no extraneous information. Front-loaded and efficient.

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?

Given 4 parameters and no output schema, the description covers the core purpose and usage context. It lacks details on return behavior but is sufficient for an informed agent.

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 coverage is 100% with descriptions for all 4 parameters. The description does not add additional parameter semantics beyond what the schema provides, meeting the baseline expectation.

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 adds a new annotation to mark a specific date or event in cost data. It explicitly distinguishes from sibling tools create_label and create_alert, eliminating ambiguity.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (user wants to mark a date/event) and when-not-to-use (for labels or alerts), and instructs to ask user for confirmation, offering clear guidance.

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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