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VulnTracker MCP

search_products

Read-onlyIdempotent

Find VulnTracker products (software, firmware, libraries) by name. Returns slugs to use with check_version, product_versions and product_cves. Searches display names and known aliases (package names, CPE tokens).

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": {
      "query": "<query>"
    },
    "name": "search_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMax results (default 10, max 50)
queryYesProduct or package name, e.g. 'openssl', 'log4j', 'fortios'
vendorNoOptional vendor slug or name to narrow the search

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so safety is covered; the description adds genuinely new behavioral context by naming the searchable surface (display names plus aliases such as package names and CPE tokens) and the return artifact (slugs). It does not cover match behavior (exact vs fuzzy), result ordering, or what an empty result looks like, which keeps it below 5.

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?

Three tight sentences with zero filler: purpose first, then the output contract, then the matching surface. Each sentence contributes distinct information and nothing is repeated from the schema.

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 carries the return contract and does so adequately by stating that slugs are returned and what they are used for. It leaves the rest of each result record (vendor, name, identifiers) and result ordering unexplained, a minor gap for a three-parameter lookup tool.

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 the baseline is 3; the description clears that by explaining that the query string is matched against display names and known aliases like package names and CPE tokens, which is matching semantics the schema does not state. It adds nothing for vendor or limit, which remain purely schema-documented.

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 and resource ("Find VulnTracker products") plus the entity types covered (software, firmware, libraries), and closes with the useful artifact it produces (slugs). It is clearly distinguishable from search_cves and the version/CVE lookup siblings it feeds into.

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 makes the downstream workflow explicit: the returned slugs are consumed by check_version, product_versions and product_cves, which tells the agent this is a discovery step before those calls. It stops short of stating exclusion conditions (e.g. when to use this rather than search_cves), so no explicit when-not guidance.

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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