Skip to main content
Glama

sovereign_data_breach_impact

Read-onlyIdempotent

Estimates financial impact of a data breach across three jurisdictions (US, EU, UK) for CFO strategic planning. Inputs include breach size, industry sector, and affected jurisdictions. Outputs include direct costs, regulatory fines, reputational damage, and cyber insurance premium adjustments. Ideal for cross-border risk assessment, financial contingency planning, and board-level reporting. Keywords: data breach cost, regulatory fines, cyber insurance, financial risk, cross-jurisdiction impact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
industryNoIndustry sector of the affected organization
records_lostYesNumber of records compromised in the breach
jurisdictionsYesJurisdictions where the breach has legal or financial impact
detection_time_daysNoTime in days to detect the breach

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesNo
warningsNo
total_cost_usdNoEstimated total financial impact in USD
cost_per_record_usdNoCost per compromised record in USD
regulatory_fines_usdNo
cyber_insurance_impactNo
reputational_damage_usdNoEstimated reputational damage cost in USD

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true, openWorldHint=true, and idempotentHint=true, signaling a safe, read-only, idempotent tool. The description adds valuable context about what the tool estimates and outputs (direct costs, regulatory fines, etc.), which goes beyond the annotations. It does not contradict any annotation, so a score of 4 is appropriate.

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?

The description is two sentences plus keyword tags. It is front-loaded with the core function ('Estimates financial impact...') and efficiently summarizes inputs, outputs, and use cases. Every sentence adds value, with no redundancy or filler.

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?

Given the tool has 5 parameters (2 required), an output schema, and comprehensive annotations, the description is complete enough. It explains the purpose, required inputs, outputs, and ideal use cases. The presence of an output schema (not shown but referenced) means the description need not detail return values. A score of 4 reflects that it covers all essential aspects without gaps.

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 description coverage is 100%, so the baseline is 3. The description mentions 'breach size, industry sector, and affected jurisdictions' as inputs, which maps to records_lost, industry, and jurisdictions parameters. However, it adds no additional meaning beyond what the schema already provides for each parameter. No improvement over baseline.

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 tool 'estimates financial impact of a data breach across three jurisdictions (US, EU, UK) for CFO strategic planning.' It specifies inputs (breach size, industry sector, jurisdictions) and outputs (direct costs, regulatory fines, etc.). This distinguishes it from sibling tools, none of which directly address data breach financial impact estimation.

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 provides clear use cases: 'cross-border risk assessment, financial contingency planning, and board-level reporting.' It does not explicitly state when not to use or name alternatives, but the specificity of the tool and sibling list make alternatives unnecessary. The context is well-defined, justifying a 4.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.5/5.0
Disambiguation2/5

With 271 tools, many have overlapping purposes (e.g., multiple competitor intel tools, multiple financial modelers, multiple ESG auditors). Detailed descriptions help slightly, but the sheer volume creates confusion. Agents would struggle to select the right tool among many similar options.

Naming Consistency1/5

Tool names are wildly inconsistent: mix of English and French, snake_case and short phrases, some very generic (process, run, execute equivalents). No discernible naming convention (e.g., abm_architect vs. boundary_control vs. bp_narratif). This makes it hard to predict tool names.

Tool Count1/5

271 tools is far beyond typical well-scoped servers (3-15). This indicates an unfocused, over-bloated tool surface. Even for a general business intelligence server, this number is excessive and violates the principle of each tool earning its place.

Completeness2/5

Despite the large count, coverage feels scattered. Some domains (e.g., content, competitive intel) have many tools, while others (e.g., supply chain, HR) have gaps. The set lacks a coherent scope; it seems like a dump of many separate tool collections rather than a complete, curated surface.

Resources