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AIWerk

@aiwerk/mcp-server-ghl

by AIWerk

saas_api_bulk_disable_saas

Disable SaaS access for multiple locations in bulk using an agency-level token. Streamline deactivation by specifying company and location IDs.

Instructions

Disable SaaS for locations (requires an agency-level token, not a location PIT)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdYes
locationIdsYesLocation IDs
Behavior2/5

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

Annotations only indicate it is not read-only and not destructive, so the description carries the burden of explaining side effects. It discloses the token requirement but omits what happens to the locations (e.g., billing impact, reversibility, partial failures). This is a significant gap for a mutation tool.

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 efficient sentence, front-loaded with the action and scope. The token requirement is appended as crucial context. There is no wasted language, making it highly concise and well-structured.

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 bulk mutation with no output schema and minimal parameter documentation, the description is incomplete. It lacks information on return behavior, error handling, whether the operation is atomic, and any prerequisites beyond the token. An agent cannot fully predict the consequences of calling this tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50% (only locationIds has a minimal description; companyId has none). The description adds no parameter information beyond the schema, failing to compensate for the undocumented companyId or clarify the exact format of locationIds. The agent must infer meaning from names alone.

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

Purpose5/5

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

The description clearly states the action (Disable SaaS) and the scope (for locations), distinguishing it from sibling tools like bulk_enable_saas. It also adds a critical authentication prerequisite, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a key usage constraint (requires agency-level token, not a location PIT), which helps the agent know when it can be called. However, it does not explicitly contrast with alternatives like single-location disable or enable tools, leaving some ambiguity about when to choose this over similar operations.

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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