recipes_playbook_get
Get one complete remediation workflow, evidence, output, and Python contract.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| playbook_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get one complete remediation workflow, evidence, output, and Python contract.
| Name | Required | Description | Default |
|---|---|---|---|
| playbook_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. 'Get' implies a read-only operation and the description names the returned artifacts, but it does not mention potential errors, authorization requirements, missing-playbook behavior, or whether the operation has side effects. The description is adequate for a simple retrieval but not richly transparent.
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 focused sentence with no filler, repeated information, or unnecessary qualifiers. It front-loads the verb and resource and efficiently lists the key output components.
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 is simple: one required string parameter, and an output schema exists to document return values. The description names the output areas but omits any input guidance and any usage context that would help the agent decide when to call this tool. It is minimally complete for the simplest retrieval case but has clear informational gaps.
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 does not explain playbook_id, its format, how to obtain valid values, or what makes a playbook identifiable. The parameter name is somewhat self-explanatory, but the description adds no meaning beyond what the schema already exposes.
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 uses a specific verb ('Get') and identifies a clear resource: 'one complete remediation workflow, evidence, output, and Python contract.' It conveys singular retrieval and is more specific than generic siblings, but it does not explicitly contrast with recipes_playbook_plan or recipes_playbooks_list, so the differentiation is implicit rather than explicit.
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?
No guidance is given about when to use this tool versus alternatives such as recipes_playbooks_list or recipes_playbook_plan. The phrase 'Get one' implies single-item retrieval, but there are no stated conditions, exclusions, or references to sibling tools.
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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