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Get scan history for an app

get_scan_history
Read-onlyIdempotent

List recent scans (summary + findings) for one of your registered apps. Requires a LaunchTrust token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYesThe id of a registered app.

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the authentication requirement (token) but does not disclose pagination, result limits, or ordering behavior. It provides some value beyond annotations but lacks depth.

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?

Two sentences, no wasted words. First sentence states purpose, second states prerequisite. Highly efficient and front-loaded.

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?

For a single-parameter tool with full schema coverage and annotations, the description covers the core purpose and a key prerequisite. However, it omits details like default page size, result limit, or whether the list is chronological, leaving some uncertainty for the agent.

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?

Schema coverage is 100%, so the schema already documents the app_id parameter. The description adds context ('for one of your registered apps') but repeats what the schema says ('The id of a registered app'). With full schema coverage, baseline is 3.

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 clearly states the verb 'List', the resource 'recent scans (summary + findings)', and the scope 'for one of your registered apps'. It distinguishes from sibling tools like 'list_my_apps' (lists apps) and 'scan_app' (starts a scan), making the purpose unambiguous.

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

Usage Guidelines3/5

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

The description mentions a prerequisite ('Requires a LaunchTrust token') but does not explicitly specify when to use this tool versus alternatives like 'get_compliance_rules' or 'list_my_apps'. Usage context is implied but not clearly articulated.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: retrieving rules vs jurisdictions vs scan results vs triggering scans vs verification. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun (snake_case) pattern: get_, list_, register_, scan_, verify_. Conventions are uniform throughout.

Tool Count5/5

9 tools cover the essential operations for compliance scanning: registration, scanning (full and quick), results retrieval, history, and verification. The scope feels well-calibrated.

Completeness4/5

Core CRUD-like coverage is present: register, scan, read results, verify. Missing update/delete for apps or scans is a minor gap but not critical for the domain's primary workflow.

Resources