Loading ToolBench
A comprehensive MCP server providing integrations with multiple observability and incident management platforms including Datadog, Prometheus, PagerDuty, and Kubernetes
18 tools across 4 integrations (Datadog, PagerDuty, Kubernetes, Prometheus). Tool naming follows verb_noun convention reasonably well (get_*, list_, show_), but parameter and output schemas are largely undocumented in the provided source excerpts. Descriptions are present but brief (avg ~100 chars), lacking context for LLM tool selection. Critical gaps: no documented output schemas, no error handling guidance, no parameter validation or constraint documentation, and tool definitions appear inferred rather than explicitly visible in the code samples. The k8s_tools.py snippet shows decorator usage (@mcp.tool()) but implementations are incomplete in the provided source.
Execute an instant query against Prometheus.
Execute a PromQL range query with start time, end time, and step interval
Get metadata about a specific metric.
Fetch details for a specific Datadog monitor.
Fetch details for a specific Datadog monitor by its exact name.
List all namespaces in the Kubernetes cluster.
Get information about all Prometheus scrape targets.
No documented output schemas for any tool. LLMs cannot plan multi-step workflows or extract chaining IDs without knowing response structure.
Kubernetes tools (get_namespaces, list_nodes, list_metrics, get_targets) have minimal or missing descriptions. Descriptions under 20 chars cannot guide LLM tool selection.
No error handling guidance. Tools do not inform LLMs whether errors are retryable, user-fixable, or fatal. No recovery paths documented.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 48 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 9 | - | v1 |
Search for Datadog dashboards by title containing the query string.
List deployments with optional namespace filter
List existing escalation policies based on the given criteria.
List events with optional namespace filter
List PagerDuty incidents based on specified filters.
Retrieve a list of all metric names available in Prometheus.
List all nodes and their status
Lists all pods in the specified Kubernetes namespace or across all namespaces. Retrieves detailed information about pods including their status, containers, and hosting node.
List services with optional namespace filter
Show details about a given escalation policy.
Get detailed information about a given incident.
Parameter constraints missing. 'namespace' parameter on Kubernetes tools lacks description of what happens if None is passed, whether wildcards are supported, or if empty string is equivalent to all namespaces.
list_incidents parameter 'statuses' type is ambiguous: documented as 'string|array' but no clear guidance on which to use. LLMs will guess wrong.
No pagination guidance for list_* tools. Response limits and cursor behavior undefined. Large result sets could blow context windows.
execute_query and execute_range_query lack examples of valid PromQL syntax and expected output shape. Parameters 'time', 'start', 'end', 'step' lack format guidance (e.g., exact RFC3339 format, Unix seconds vs milliseconds).
Tool definitions in k8s_tools.py use @mcp.tool() decorator but function implementations are truncated in provided source. Cannot verify input schema completeness or return types.