Skip to main content
Glama
ClaudioLazaro

MCP Datadog Server

get_integrations_confluent_cloud_account_resources_v2

Retrieve Confluent Cloud resource details using resource and account IDs for monitoring and integration with Datadog.

Instructions

Get a Confluent resource with the provided resource id for the account associated with the provided account ID.

Input 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, so the description carries the full burden. It implies a read-only operation ('Get'), but does not disclose behavioral traits such as authentication requirements, rate limits, error handling, or the format of the returned resource. For a tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's purpose. It is front-loaded with the core action and does not contain unnecessary details. However, it could be slightly more structured by explicitly listing the inputs or clarifying the resource type.

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?

Given the complexity of retrieving a specific resource (likely involving API calls and identifiers), the description is incomplete. No annotations exist to cover behavioral aspects, there is no output schema to describe return values, and the description lacks details on authentication, error cases, or the nature of the 'Confluent resource'. This makes it inadequate for reliable tool invocation.

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 0 parameters with 100% coverage, so no parameters are documented in the schema. The description mentions 'resource id' and 'account ID' as required inputs, adding semantic meaning beyond the empty schema. However, it does not specify the data types or formats for these identifiers, leaving some ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Get[s] a Confluent resource with the provided resource id for the account associated with the provided account ID', which specifies the verb ('Get'), resource ('Confluent resource'), and required identifiers. However, it is vague about what a 'Confluent resource' entails and does not differentiate from sibling tools like 'get_integrations_confluent_cloud_account_resources_v2_2' or 'get_integrations_confluent_cloud_account', leaving ambiguity in scope.

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 on when to use this tool versus alternatives. The description mentions retrieving a resource by 'resource id' and 'account ID', but does not specify prerequisites, exclusions, or compare it to similar tools (e.g., 'get_integrations_confluent_cloud_account' for account-level details). This lack of context makes it unclear when this tool is appropriate.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ClaudioLazaro/mcp-datadog-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server