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doitintl

DoiT MCP Server

Official
by doitintl

create_report

Destructive

Generate and store a Cloud Analytics report using selected data source, metrics, dimensions, filters, and time intervals for cost analysis.

Instructions

Use this when the user wants to save a new Cloud Analytics report with a specific configuration. Ask the user to confirm the report parameters before executing. Do NOT use this for one-time queries without saving (use run_query).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the report (required, non-empty).
descriptionNoA brief description of the report.
labelsNoOptional list of label IDs to assign to the report.
configYesConfiguration for the report. Use the dimension tool to look up valid dimension IDs.
Behavior4/5

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

Annotations indicate destructiveHint=true, so the description's mention of 'save' aligns. It adds the behavioral note to confirm parameters before execution. No contradictions, but could disclose more about side effects or permissions.

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, no unnecessary words. Front-loaded with core purpose and usage guidance. Every sentence adds value.

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 the complexity of the config object and no output schema, the description provides sufficient context: when to use, how to use (confirm, use dimension tool), and exclusion cases. Could elaborate on return value but not essential.

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 100%, so baseline is 3. The description adds value by referencing the dimension tool for valid IDs and advising parameter confirmation, which aids correct usage beyond the schema.

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 is for saving a new Cloud Analytics report with a specific configuration, using the verb 'save' and specifying the resource. It also distinguishes from run_query for one-time queries, making the purpose unambiguous.

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?

Explicitly states when to use (user wants to save a new report) and when not to use (one-time queries, directing to run_query). Also advises to ask user to confirm parameters, providing clear usage instructions.

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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