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jamesbrink

MCP Server for Coroot

configure_integration

Set up or update an integration for a project, supporting Prometheus, ClickHouse, AWS, Slack, Teams, PagerDuty, Opsgenie, and webhooks.

Instructions

Configure an integration for a project.

Sets up or updates an integration configuration. Each integration type has specific configuration requirements.

Integration types:

  • prometheus: Metrics data source

  • clickhouse: Long-term storage

  • aws: AWS services integration

  • slack: Slack notifications

  • teams: Microsoft Teams notifications

  • pagerduty: PagerDuty alerts

  • opsgenie: Opsgenie alerts

  • webhook: Custom webhooks

Args: project_id: Project ID integration_type: Type of integration config: Integration-specific configuration dictionary

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
integration_typeYes
configYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as whether the operation is idempotent, destructive, or requires specific permissions. It does not clarify if the config parameter merges or overwrites existing settings, nor does it mention any side effects or rate limits.

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?

The description is well-structured with a clear header listing integration types in bullet points. It front-loads the purpose and parameter list. While the integration type list is helpful, it could be slightly more concise, but overall it is efficient and easy to parse.

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?

The description covers the tool's purpose, parameter semantics, and integration types. An output schema exists (not shown), so return values are not required. The config parameter is explained as a dictionary but lacks example structures. Still, for a configuration tool with moderate complexity, it is largely complete.

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?

The input schema has 3 required parameters with 0% description coverage. The description compensates by adding clear semantics for each parameter (e.g., 'Project ID', 'Type of integration', 'Integration-specific configuration dictionary'), which adds value beyond the schema titles.

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 'Configure an integration for a project' and lists integration types with brief descriptions. The verb 'Configure' and resource 'integration' are specific, and it distinguishes from sibling tools like configure_logs, configure_profiling etc., which handle different aspects.

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

Usage Guidelines3/5

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

The description mentions 'Sets up or updates an integration configuration' and lists integration types, which helps the agent understand scope. However, it does not explicitly state when to use this tool versus alternatives (e.g., test_integration, delete_integration) or provide exclusion criteria or prerequisites.

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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