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VulnTracker MCP

untrack

Idempotent

Remove a tracking from the API key's team: give the same type and target used with track (or shown by list_trackings). Board cards stay.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "target": "<target>"
    },
    "name": "untrack"
  }
}

Input Schema

NameRequiredDescriptionDefault
typeNoproduct (default), vendor, product_version, cve or keyword
targetYesProduct/vendor slug or id, CVE id, or keyword text

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false; the description adds a genuinely non-obvious side-effect boundary — "Board cards stay" — plus the team scoping of the operation. It does not say what happens when no matching tracking exists (silently no-op vs error), which is the one behavioral detail an agent would still want.

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?

One compact sentence, front-loaded with the action and scope, followed by the two operational details that matter (identifier source, board-card persistence). Nothing is redundant with the annotations or schema.

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 2-parameter mutation with full schema coverage, safety annotations, and no output schema, the description supplies everything needed: what is removed, at what scope, how to supply identifiers, and what is explicitly left untouched.

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

Parameters4/5

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

Schema coverage is 100%, so 3 would be the baseline, and the description earns above that by explaining the provenance of the values: type/target must be the same identifiers used with track or reported by list_trackings, which is meaning the schema does not convey. It does not restate the accepted type enum values, which is fine since the schema does.

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?

States a specific verb ("Remove") and resource ("a tracking") with explicit scope ("the API key's team"), and pairs it against the sibling operations that produce/read the same object (track, list_trackings). An agent can tell it apart from track and list_trackings without opening any 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 concrete pre-call guidance: reuse the exact type/target from track, or take them from list_trackings, which implies the list-then-untrack workflow. It does not spell out the inverse relationship to track in explicit "use X when..." form, so it stops just short of full when/when-not coverage.

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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