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uptime_create_runbook

Generate incident response runbooks for common failure scenarios from service name, infrastructure, and known issues to prepare teams for quick resolution.

Instructions

Generate incident response runbooks for common failure scenarios

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
service_nameYesService name
common_issuesNoKnown common issues to create runbooks for
infrastructureYesInfrastructure description (e.g., 'Node.js API on Railway with Postgres on Neon')
Behavior2/5

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

With no annotations provided, the description carries the full behavioral disclosure burden, but it only says 'Generate...' without explaining side effects, required setup, authentication, whether files are written, or what the runbooks contain. It is not misleading, but it is far from transparent about behavior.

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 with no filler or redundant phrasing. It is front-loaded and efficiently states the primary action and target artifact, though it sacrifices substantive detail for brevity.

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

Completeness2/5

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

For a tool with four parameters, two required, no output schema, and no annotations, the description is too thin. It does not explain what runbooks look like, what service_name and infrastructure are used for beyond raw names, whether common_issues is required, or what an agent should expect after invocation. Noticeably, there is also no output schema to make up for this gap.

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 75%: service_name, common_issues, and infrastructure each have at least minimal descriptions, and infrastructure includes a helpful example. The description text itself adds no parameter-level detail, and api_key remains undocumented in both schema and description, but the schema already carries most of the parameter semantics burden.

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?

The description states a clear verb and resource: generate incident response runbooks for common failure scenarios. It is not tautological and gives a reasonable sense of the tool's role. However, it does not differentiate from similarly named siblings like alert_generate_runbooks or dr_create_runbooks, unless the tool name and uptime prefix serve as the only distinguishing signal.

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?

There is no guidance on when to use this tool over alternatives such as alert_generate_runbooks, dr_create_runbooks, or incident_create_templates. The description provides no exclusions, preconditions, or routing hints, leaving the agent to infer usage solely from the tool name.

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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