analyze
Inspect a runbook receipt and determine the next state, guiding repair iterations across machines.
Instructions
Analyze a runbook receipt and determine the next state.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| root | No | ||
| runbook_id | Yes |
Inspect a runbook receipt and determine the next state, guiding repair iterations across machines.
Analyze a runbook receipt and determine the next state.
| Name | Required | Description | Default |
|---|---|---|---|
| root | No | ||
| runbook_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so the agent knows this is a safe, closed-world read operation. The description adds the 'determine next state' outcome but doesn't clarify what inputs affect the result or what the output format is. With annotations covering the safety profile, this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler words. It conveys the core purpose without redundancy, which is ideal for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no parameter explanations, and only a vague description. The agent cannot determine what constitutes a 'runbook receipt', what 'next state' refers to, or how the parameters influence the analysis. This is insufficient for reliable invocation, especially given the tool's role in an apparently complex workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description provides no information about the two parameters ('runbook_id' and 'root'). The agent only knows that runbook_id is required, but has no idea what 'root' means or how these values should be formatted. The description completely fails to compensate for the missing schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action (analyze) on a specific resource (runbook receipt) and a clear outcome (determine the next state). This distinguishes it from siblings like fetch_receipt (retrieving data) and status (reporting current status), though it doesn't explicitly differentiate from similar-looking tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance on when to use this tool versus alternatives. The description implies its purpose (determining next state after analysis) but doesn't state prerequisites, exclusions, or when a sibling would be more appropriate. An agent is left to infer usage 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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