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legionultramax

Harris HawkEye MCP

get_mitre_attack_stats

Retrieve statistics on indexed MITRE ATT&CK content, including groups, software, and techniques, to assess data coverage and identify gaps for detection engineering.

Instructions

Get statistics about the indexed MITRE ATT&CK data (groups, software, techniques, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. 'Get' clearly implies a read-only operation, and 'indexed' usefully scopes the data source. However, it doesn't disclose what form the statistics take, whether they are computed on demand, or any other behavioral nuances beyond the word 'indexed'.

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?

A single compact sentence with no filler. The action and resource are front-loaded, and the parenthetical examples add useful context without bloating the description.

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

Completeness3/5

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

The tool is trivially easy to call with no parameters, but since there is no output schema, the description doesn't say what the returned statistics look like. Given several similar sibling statistics tools, an agent could still pick the wrong one without clearer differentiation.

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?

The tool has zero parameters and schema description coverage is trivially 100%. Per the baseline for a zero-parameter tool, the description appropriately has no need to elaborate on parameters.

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 ('Get') and resource ('statistics about the indexed MITRE ATT&CK data') and gives examples of the entities involved. However, it doesn't differentiate from overlapping siblings like get_stats, get_technique_count, and get_coverage_summary, so some ambiguity remains.

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?

No guidance is given on when to choose this tool over the many sibling statistics tools, such as get_stats, get_technique_count, or get_coverage_summary. The agent must infer usage from the name alone.

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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