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dmarc-examiner

DMARC Examiner MCP

get_forensic_reports_summary

Retrieve a concise summary of forensic DMARC reports from the last 7 days to review potential email security threats and authentication failures.

Instructions

Summary of forensic activity in the last 7 days — useful for daily digest views.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

There are no annotations provided, so the description must carry the full burden. It clearly states the tool returns summary data (not a list) over a fixed 7-day period, implying idempotent/read-only behavior. For a tool with no parameters, this is transparent enough. It could be improved by explicitly stating it is read-only and has no side effects.

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 a single, front-loaded sentence with no wasted words. Every part contributes to understanding: the return type ('summary'), temporal scope ('last 7 days'), and use case ('daily digest'). It is perfectly concise for the tool's simplicity.

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 that the tool has no parameters, no output schema, and no annotations, the description provides good temporal and semantic context. It could elaborate on the output format (e.g., 'returns aggregate counts and threat categories'), but for a digest-oriented summary tool, this description is sufficiently complete for an AI agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema description coverage is 100%. The description adds value by explaining the semantic nature of the output (a summary, not raw data) and its time window, which compensates for the lack of an output schema. No additional parameter documentation is needed.

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 returns a summary of forensic activity over a specific 7-day window, and that it's intended for daily digest views. It uses a specific verb ('get') and resource ('forensic reports summary') and includes a temporal scope that differentiates it from sibling tools like get_forensic_reports_statistics or list_forensic_reports.

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 explicitly says it's 'useful for daily digest views,' which implies a periodic/recurring use case (e.g., automated daily queries). However, it does not explicitly say when NOT to use it or name alternatives for different time ranges or more detailed forensic analysis. Still, the temporal context and sibling tool names provide enough clarity for an agent to choose appropriately.

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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