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dreamiurg

Datadog MCP Server

by dreamiurg

get-slos

List service level objectives (SLOs) with names, targets, and status. Filter by IDs, name, tags, or metrics to find specific SLOs or those at risk.

Instructions

List Service Level Objectives (SLOs). Use for 'show all SLOs', 'SLOs for team platform', 'which SLOs are at risk'. Returns SLO names, targets, and current status. Use get-slo for detailed error budget and history of a specific SLO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsNoComma-separated list of SLO IDs to fetch
queryNoSearch SLOs by name
tagsQueryNoFilter by tags (e.g., 'team:platform,env:prod')
metricsQueryNoFilter by metrics used in SLO
limitNoNumber of SLOs to return
offsetNoPagination offset
Behavior3/5

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

No annotations provided, so the description must convey behavior. It states the tool returns SLO names, targets, and current status, implying a read-only operation. However, it does not disclose pagination details, default limit, or potential latency.

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?

Two sentences: first states the purpose, second provides example queries and points to an alternative tool. No redundancy or filler.

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?

Given no output schema, the description covers return values and provides usage context. It distinguishes from related tools. But it lacks details on sorting, default limit, or error handling, which could be important for an agent.

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 already describes all 6 parameters with 100% coverage. The description does not add additional semantic meaning beyond the examples in the usage guidelines.

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 'List Service Level Objectives (SLOs)' and provides concrete example queries ('show all SLOs', 'SLOs for team platform'). It distinguishes from the sibling tool 'get-slo' for detailed info.

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

Usage Guidelines4/5

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

The description gives example use cases and recommends 'get-slo' for detailed error budget. However, it does not mention the sibling 'search_slos' tool, which might be an alternative for advanced filtering.

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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