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Approve Vulnerability Exception

approve_exception
Destructive

Approve a pending exception to activate it, capturing audit reason and operator details for compliance.

Instructions

Activate a pending exception through the canonical lifecycle store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNoHuman audit reason for approving the exception.
tenant_idNoRequested tenant; the MCP server binding remains authoritative.default
exception_idNoPending exception id to activate.
operator_roleNoOperator role for this audited write.viewer
operator_scopesNoComma-separated operator scopes for this audited write.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already disclose destructiveHint=true, so the description's 'activate' aligns but adds little detail. It does not explain side effects, reversibility, or the audited nature of the write (though parameters mention 'audited write'). The 'canonical lifecycle store' phrase adds no behavioral context. Since annotations carry most of the burden, and the description contributes minimal additional disclosure, this is below baseline.

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, short sentence that states the main action upfront. The inclusion of 'through the canonical lifecycle store' is somewhat redundant but does not bloat it materially. It is concise and structured acceptably, though it could be more informative without adding length.

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?

Despite having an output schema and 100% parameter coverage, the description is inadequate for a destructive write operation. It omits the domain (vulnerability exceptions), the expected workflow (request -> approve), prerequisites, and any caveats. The sibling list includes closely related tools like 'request_exception' and 'list_exceptions', and this description does not clarify how it fits. Two sentences of context could dramatically improve completeness.

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 documents all five parameters. The description does not add any extra meaning to parameters like 'exception_id' or 'reason'. It implicitly relates to approving an exception but adds no syntax or usage nuance. Because coverage is high, the baseline of 3 applies; the tool does not need the description to compensate.

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 uses a specific verb 'activate' with a resource 'pending exception', which clearly indicates the action. It distinguishes from siblings like 'request_exception' (creating) and 'list_exceptions' (listing), though the phrase 'canonical lifecycle store' is vague jargon that obscures the actual domain (vulnerability exceptions) and may confuse an agent.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that it operates on exceptions created via 'request_exception', nor when it should be avoided (e.g., for already-active exceptions). An agent is left to infer the workflow from the name and siblings with no explicit conditions.

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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