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Space-C0wboy

ReliaQuest GreyMatter MCP Server

by Space-C0wboy

update_access_control_policies

Update access control policies by adding or removing access groups to adjust permissions across the GreyMatter platform.

Instructions

DRP Access Control · mutation updateAccessControlPolicies. Variables: after, first, notFilter, order, after1, first1, notFilter1, input. Example variables: {"after":"T18w","first":10,"notFilter":{"ids":[""]},"order":{"direction":"ASC","orderBy":"NAME"},"after1":"T18w","first1":10,"notFilter1":{"ids":[""]},"input":{"accessControlPolicyIds":[""],"accessGroups":{"add":[""],"addAll":true,"remove":[""],"remove...

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoGraphQL: String
firstNoGraphQL: Int
inputYesGraphQL: UpdateAccessControlPoliciesInput!
orderNoGraphQL: AccessGroupOrder
after1NoGraphQL: String
first1NoGraphQL: Int
notFilterNoGraphQL: AccessControlPolicyFieldFilter
notFilter1NoGraphQL: AccessControlPolicyFieldFilter
customer_slugNoOverride the x-reliaquest-customer (OpCo) header.
Behavior2/5

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

The description labels the operation as a 'mutation' but provides no details about side effects, reversibility, required permissions, or impact on existing policies. With no annotations, the description carries the full burden, and it fails to disclose any behavioral traits beyond the implied write operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a dense, unstructured run-on that mixes a label, variable list, and truncated JSON example in a single block. It is not concise or front-loaded; the useful example is cut off mid-value, and there is no clear organization.

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?

The tool has 9 parameters, no output schema, and no annotations, yet the description provides only a partial example and no explanation of return values, behavior, or parameter semantics. This is insufficient for an agent to select and invoke the tool correctly, especially given the complex input structure.

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 coverage is 100%, but the schema descriptions are minimal (e.g., 'GraphQL: String'). The description adds a raw list of variable names and a truncated example that shows the structure of 'input' (accessControlPolicyIds, accessGroups with add/addAll/remove). This provides some semantic context, but it does not explain the meaning of each parameter or how they interact.

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

Purpose2/5

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

The description only restates the tool name ('DRP Access Control · mutation updateAccessControlPolicies') without explaining what the mutation does to access control policies. It lists variables and an example but never states a clear verb+resource purpose, so it fails to distinguish from sibling tools like update_access_control_policy or create_access_control_policy.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, contexts, or exclusions. The example variables hint at usage but do not explain scenarios or trade-offs.

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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