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CVSS 3.1 Calculator

security_cvss_calc

Compute a CVSS 3.1 base score from its vector string using the exact FIRST specification (weights, scope handling, and the rounding function). Pairs with cve-lookup: paste any vector and get the score, severity band, and metric breakdown. Use this when an agent needs to vector string → exact base score. x402 price $0.01/call (USDC, eip155:8453).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vectorYesCVSS vector

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden and does reasonably well: it discloses that the output includes the score, severity band, and metric breakdown (useful since there is no output schema), and flags the paid x402 access model at $0.01/call on eip155:8453. It says nothing about behavior on malformed vectors or unsupported spec versions, which is the remaining gap.

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?

Purpose and fidelity claim lead; the cve-lookup pairing, the use condition, and the pricing note follow. Mostly earned sentences, though the 'Use this when an agent needs to vector string → exact base score' line partially restates the opening sentence and could be tightened.

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

Completeness4/5

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

With no output schema, the description usefully names the return contents (score, severity band, metric breakdown) and the algorithm fidelity, which is exactly what an agent calling a calculator needs. The remaining gap is example vector formats and error behavior, minor for a stateless pure-computation tool.

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?

Only one parameter and schema description coverage is 100%, so the baseline is 3 per the rubric. The description reinforces that the input is a pasteable CVSS vector string and that exact spec conformance matters, but adds no syntax detail (component order, mandatory metrics) beyond the schema's 'CVSS vector' label.

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?

Presents a specific verb and resource ('Compute a CVSS 3.1 base score from its vector string') and pins the fidelity claim to the FIRST specification. It also distinguishes itself from the security_cve_lookup sibling by describing the relationship ('Pairs with cve-lookup'), so an agent can route between them without inspecting either schema.

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?

Gives a concrete use condition ('Use this when an agent needs to vector string → exact base score') and names the complementary tool (cve-lookup) for the upstream lookup step. It stops short of stating explicit when-not or the boundary case (e.g., CVSS 3.0 vs 4.0 vectors), so a little inference is still required.

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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