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us-all

datadog-mcp-server

list-cases

Read-only

Search and filter Datadog Case Management cases using queries, sort by fields, and paginate through results.

Instructions

List Datadog Case Management cases with search and filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query to filter cases. Example: status:open priority:P1
pageSizeNoNumber of results per page (default 25)
pageNumberNoPage number (1-based, minimum 1)
sortFieldNoField to sort bycreated_at
Behavior3/5

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

The description aligns with the readOnlyHint annotation (listing is read-only) and openWorldHint (system-wide data). However, it does not add significant behavioral context beyond the annotations and schema. For a read-only tool with annotation coverage, this is adequate but not exceptional.

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?

The description is a single sentence of 8 words, front-loading the action and resource. It is concise and efficient, with no unnecessary words or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (4 parameters, no output schema) and the coverage from schema and annotations, the description is minimally adequate. It could be improved by mentioning the return format (list of cases) or pagination behavior, but it conveys the core functionality.

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?

The input schema covers all parameters with descriptions, providing 100% coverage. The tool description does not add additional parameter-level information beyond what the schema already provides, so it meets the baseline for high schema coverage.

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 action 'List' and the resource 'Datadog Case Management cases', with additional details about search and filtering. This distinguishes it from sibling tools like 'get-case' (single case) and other list tools, making the purpose specific and unambiguous.

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 implies usage for listing cases but does not explicitly state when to use this tool versus alternatives like 'get-case' for a single case or 'create-case' for creation. No exclusions or when-not-to-use guidance is provided, so the agent must infer from context.

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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