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searchatlas_run_playbook

Execute automation recipes on SEO projects to streamline keyword research, content generation, site auditing, and authority building tasks.

Instructions

Execute a playbook (automation recipe) on a project using the appropriate agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
playbook_idYesUUID of the playbook to run
project_idYesProject ID to run the playbook against
messageNoOptional instruction message to the agentRun this playbook
agent_namespaceNoAgent namespace to execute in (default: orchestrator). Use the agent_namespace from the playbook listing.
Behavior2/5

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

With no annotations, the description carries full burden but provides minimal behavioral insight. It mentions execution and agent usage but lacks details on permissions needed, whether it's destructive, rate limits, or expected outcomes. This is inadequate for a tool that likely performs significant automation actions.

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?

The description is a single, efficient sentence that front-loads the core action. It could be slightly more informative but avoids redundancy and waste.

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 4 parameters, no annotations, and no output schema, the description is insufficient. It doesn't cover behavioral aspects like execution safety, response format, or error handling, leaving significant gaps for an AI agent to understand its use.

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 100%, so the baseline is 3. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain playbook selection criteria or agent namespace implications), but it doesn't need to compensate for gaps.

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 clearly states the action ('Execute') and target ('a playbook on a project'), specifying it's an automation recipe. It distinguishes from siblings like 'searchatlas_list_playbooks' by focusing on execution rather than listing, though it doesn't explicitly contrast with all siblings.

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 guidance on when to use this tool versus alternatives is provided. It mentions 'using the appropriate agent' but doesn't specify what makes an agent appropriate or when to choose this over other tools like 'searchatlas_orchestrator' or 'searchatlas_llm_visibility'.

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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