Update priority levels for cases in Datadog to organize and manage incident response workflows effectively.
Update case priority
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "create_case_priority"
}
}| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.0.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. 'Update case priority' implies a mutation operation but doesn't disclose what permissions are required, whether changes are reversible, what happens if the case doesn't exist, or what the expected response looks like. For a mutation tool with zero annotation coverage, this is inadequate behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at just two words, but this brevity comes at the cost of clarity. While it's front-loaded with the core action, it's under-specified rather than efficiently informative. Every word earns its place, but more words would be needed to make this truly helpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations, no output schema, and 0 parameters, the description is incomplete. It doesn't explain how priority is determined, what the valid priority values are, or what happens after execution. The agent would be left guessing about both the input requirements and the expected outcome.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% description coverage, so there are no parameters to document. The description doesn't need to compensate for any parameter gaps. However, it also doesn't explain why this tool requires no parameters, which might be confusing for an agent expecting to specify which case or what priority value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Update case priority' is a tautology that essentially restates the tool name 'create_case_priority' with a synonym. It doesn't clarify whether this creates a new priority setting or modifies an existing one, nor does it specify what resource is being updated. The name suggests creation while the description suggests update, creating ambiguity rather than clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides zero guidance on when to use this tool. It doesn't mention prerequisites, alternative tools, or contextual constraints. Given the sibling tools include 'create_case_status', 'create_case_assign', and 'create_cases', there's clear opportunity to differentiate usage scenarios, but none is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.