coverage_ingest_log

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

With no annotations provided, the description carries the behavioral disclosure burden. It covers parsing behavior, supported log formats, the structured-input alternative, and automatic session creation when session_id is absent. It is transparent about the core side effects (creating/adding to a session), though it does not detail success/failure semantics or whether existing session data is modified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded; the first sentence states the purpose, and subsequent sentences add only necessary operational detail. There is no redundant phrasing or filler.

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

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

For a tool with no output schema and no annotations, the description provides substantial context: input modes, supported formats, mapping behavior, and session creation. The main gap is that it does not describe what is returned or how success is signaled, but the core invocation requirements are well covered.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds meaningful value by enumerating supported parseable formats (Windows Event XML, Sysmon, JSON, auditd, CEF) and clarifying the mutual exclusivity of raw_log vs event_source+event_id, which is only tersely indicated in the schema. This goes beyond the bare schema definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Ingest a sample log into a coverage assessment session.' It then clearly states what the tool does with the log—extracts event source, event ID, and fields, and maps to MITRE ATT&CK data sources/components. This distinguishes it from sibling analysis tools like coverage_assess_session and coverage_gaps_detail.

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

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

The usage context is clear: ingest logs into sessions, with optional raw log or structured event_source/event_id input. However, it does not explicitly say when to prefer this tool over related coverage session tools, nor does it state any exclusions or preconditions. Usage is implied rather than directly contrasted with alternatives.

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