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geoffbelknap

LimaCharlie MCP

by geoffbelknap

lc_validate_replay_rule

Validates detection and response rules by replaying them against minimal events in a dry-run mode to confirm correctness without impacting real data.

Instructions

Validate a D&R rule through Replay using a dry-run minimal event.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oidYes
traceNo
limit_evalsNo
limit_eventsNo
rule_contentYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies a dry-run with minimal event (suggesting no side effects) but does not disclose permissions needed, error behavior, or whether the tool is read-only. The term 'Replay' is ambiguous without further explanation.

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

Conciseness3/5

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

The description is a single sentence of 10 words, which is concise but too brief. It front-loads the purpose but omits critical details, making it minimally acceptable in terms of structure.

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

Completeness1/5

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

Given the tool has 5 parameters, a complex nested object (rule_content), no output schema, and no annotations, the description is severely incomplete. It does not cover return values, error handling, or parameter explanations, leaving the agent unable to use the tool correctly.

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

Parameters1/5

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

Schema coverage is 0%, with no parameter descriptions in the schema. The description fails to explain any parameter, including the required 'oid' and 'rule_content', or the optional 'trace', 'limit_evals', and 'limit_events'. This leaves the agent without guidance on how to populate the 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 clearly states the tool validates a D&R rule using Replay with a dry-run minimal event. It distinguishes from siblings like lc_replay_dry_run and lc_validate_search_query by specifying the validation context, but could be more explicit about what validation entails.

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 on when to use this tool versus alternatives, such as lc_replay_dry_run. No prerequisites or context provided for the expected use case.

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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