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list_vr_exception_requests

Read-onlyIdempotent

List Vulnerability Response exception requests (sn_sec_exception_change_approval) — False Positive, Risk Acceptance and Exception/Deferral requests raised against vulnerable items or groups.

Instructions

List Vulnerability Response exception requests (sn_sec_exception_change_approval) — False Positive, Risk Acceptance and Exception/Deferral requests raised against vulnerable items or groups. Shows request_type, the target record, the desired state/substate if approved, the approval_state, requester and reason. Approve/reject via act_on_vr_approval (find the approver rows with list_vr_approvals).

Input Schema

NameRequiredDescriptionDefault
limitNoMax records (default: 25, max: 1000)
queryNoAdditional raw encoded query appended with ^
tableNoTarget record class, e.g. "sn_vul_vulnerable_item" or "sn_vul_vulnerability"
latest_onlyNoOnly the latest revision of each request (default: true)
request_typeNoExact request type, e.g. "False positive", "Exception", "Risk Acceptance"
approval_stateNoApproval state: 0=In Review, 1=Approved, 2=Rejected, 3=No Longer Required, 4=Expired, 5=Draft

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.15.1

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds useful scope: the request types covered (False Positive, Risk Acceptance, Exception/Deferral), the target record class, and the fields displayed. It does not mention pagination or permissions, but with no output schema the field list is meaningful behavioral context.

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 three sentences, front-loads the tool's purpose, then lists displayed fields, then routes to approval tools. Every sentence earns its place, with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list tool with full schema coverage and no output schema, the description is complete enough: it identifies the record type, subtypes, fields shown, and how to take follow-up approval actions. An agent has what it needs to call this tool correctly.

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 schema already documents all six parameters. The description adds some mapping between request types and the request_type parameter, and mentions target records in relation to table, but it does not add syntax or deeper meaning beyond the schema.

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 states a specific verb and resource ('List Vulnerability Response exception requests') and identifies the underlying table. It distinguishes the tool from siblings by naming list_vr_approvals (approver rows) and act_on_vr_approval (approval action), making its role clear without opening schemas.

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

Usage Guidelines4/5

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

The description gives clear usage context: it lists exception requests, and approval or rejection is done through act_on_vr_approval after finding approver rows with list_vr_approvals. It does not give explicit exclusions or a full decision tree, but the routing to the correct sibling tools is strong.

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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