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geoffbelknap

LimaCharlie MCP

by geoffbelknap

lc_preview_feedback_acknowledgement

Preview an external feedback acknowledgement request to validate its configuration before sending.

Instructions

Preview sending an external acknowledgement request through ext-feedback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oidYes
case_idNo
channelYes
questionYes
playbook_nameNo
timeout_contentNo
timeout_secondsNo
token_ttl_secondsNo
acknowledged_contentNo
feedback_destinationYes
Behavior2/5

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

No annotations are provided, so the description must inform about behavior. It says 'Preview sending', which ambiguously suggests a simulation, but does not confirm whether it actually sends or just shows a preview, nor disclose side effects, auth requirements, or error handling.

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 with no wasted words, but it is under-specified for a tool with 10 parameters. It could be more informative without becoming verbose.

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 10 parameters, zero annotations, no output schema, and no schema descriptions, the description is severely inadequate. It fails to describe what the tool returns, parameter purposes, or usage context.

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%, so the description should compensate. The description does not explain any of the 10 parameters (oid, channel, question, feedback_destination, etc.), leaving their semantics entirely implicit from parameter names.

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 verb 'Preview sending' and the resource 'external acknowledgement request through ext-feedback', distinguishing it from sibling preview_feedback tools like lc_preview_feedback_question and lc_preview_feedback_simple_approval. It could be more explicit about what 'acknowledgement' 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. Among siblings are other preview_feedback tools, but the description never explains when to choose acknowledgement over question or simple_approval.

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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