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Rootly MCP server

Rootly MCP server

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by rootlyhq

List Investigations

list_investigations
Read-only

List Rootly AI SRE investigations newest first, with filters for status, outcome, alert, and incident, to review response progress and root-cause findings.

Instructions

List AI SRE investigations you can see, newest first.

Input Schema

NameRequiredDescriptionDefault
statusNopending, running, completed, failed or cancelled.
outcomeNoroot_cause_identified, best_effort, inconclusive, blocked or could_not_investigate.
alert_idNoOnly investigations of this alert.
page_sizeNo
incident_idNoOnly investigations of this incident.
page_numberNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.4.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds two genuinely useful behavioral facts not in the annotations: results are permission-filtered to what the caller can see, and ordering is newest-first. It says nothing about pagination despite page_size/page_number parameters.

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?

A single well-front-loaded sentence with no filler. However, its brevity comes at the cost of omitting filtering and pagination behavior, so it is slightly under-specified rather than maximally efficient.

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?

An output schema exists, so return shape needn't be described. But for a six-parameter list tool the description never indicates that results can be filtered by status, outcome, alert or incident, nor that results are paginated — gaps an agent would want before invoking it.

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?

Schema description coverage is 67%, so the schema itself documents most parameters, including the valid status and outcome values. The description adds no parameter-level meaning beyond that, which is the baseline expectation when schema coverage is reasonably high.

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

Purpose4/5

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

States a specific verb+resource ('List AI SRE investigations') and adds two distinguishing traits: visibility scoping ('you can see') and sort order ('newest first'). This separates it from get_investigation, start_investigation and cancel_investigation, though it doesn't explicitly name any sibling.

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 when-to-use or when-not-to-use guidance. The agent must infer from the name that this is the enumeration entry point before calling get_investigation, and nothing mentions that results can be narrowed by status, outcome, alert or incident.

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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