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Mallory

getProduct

Fetch a single Mallory product by identifier (a product UUID) and return its full detail. Returns: vendor and product name, CPE, description, and links to advisories and vulnerabilities. If you only have a name or search terms, call listProducts first to find the exact identifier. For relationship pivots (e.g. related malware or attack patterns) and advanced cross-entity queries, use queryApi.

Input Schema

NameRequiredDescriptionDefault
identifierYesThe product identifier — a product UUID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and largely meets it: it enumerates the returned content (vendor, product name, CPE, description, advisory/vulnerability links) and the read-only intent is unambiguous from "Fetch." It does not state what happens when the UUID doesn't resolve (error vs. empty), which is the main remaining behavioral gap for a no-annotation tool.

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 sentences, each serving a distinct purpose: what it does, what it returns, and which siblings to use instead. The core action is front-loaded and there is 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 single-parameter lookup with no output schema, the description covers purpose, return shape, identifier sourcing, and alternative routing. Nothing an agent needs in order to call this correctly is missing.

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, but the description adds real value beyond the schema by specifying that the identifier is a product UUID and by explaining how to obtain one via listProducts. It stops short of format/validation details, but the schema's minLength and additionalProperties already cover that.

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 precise verb+resource combination ("Fetch a single Mallory product by identifier") and explicitly scopes the result to full detail for one entity. It is clearly distinguishable from listProducts and the other get* siblings by naming the identifier type (product UUID) up front.

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

Usage Guidelines5/5

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

It gives two explicit alternatives with their selecting conditions: call listProducts when you only have a name or search terms, and use queryApi for relationship pivots or cross-entity queries. An agent never has to guess which sibling to pick.

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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