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geoffbelknap

LimaCharlie MCP

by geoffbelknap

lc_preview_terminate_ai_session

Simulate termination of a running AI session to review consequences without applying changes.

Instructions

Preview terminating a running AI session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oidYes
session_idYes
token_ttl_secondsNo
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It does not explain the 'preview' behavior, such as whether it simulates the termination, requires confirmation, or has side effects. The agent is left to guess what the output or consequences are.

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

Conciseness4/5

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

The description is very concise at five words, front-loading the purpose. However, it may be too terse, sacrificing necessary detail for brevity. It earns a high score for efficiency but loses a point for under-specification.

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 three parameters, no output schema, and no annotations, the description is far from complete. It does not cover what the preview returns, how the parameters are used, or how this tool fits into the workflow (e.g., culminating in an actual termination via confirm_action).

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 description coverage is 0%, meaning the description adds no information about parameters. The input schema has three parameters (oid, session_id, token_ttl_seconds) with no descriptions in either the schema or the tool description, leaving the agent with no guidance on their meaning.

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 'Preview terminating a running AI session' clearly states the action (preview terminating) and the resource (AI session). It is specific enough to distinguish from other tools, though it could be more precise about what 'preview' 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 vs alternatives, no prerequisites or conditions for use. The description solely states what it does without contextual advice.

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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