Skip to main content
Glama
geoffbelknap

LimaCharlie MCP

by geoffbelknap

lc_preview_remove_case_telemetry

Preview the removal of a specific telemetry entry from a case to verify the impact before executing the actual removal.

Instructions

Preview removing telemetry from a case.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oidYes
case_numberYes
telemetry_idYes
token_ttl_secondsNo
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. 'Preview' suggests a dry run, but the description does not confirm whether it actually performs the removal or just shows the impact. No details on side effects or authorization needs.

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, which is concise but lacks necessary detail. It front-loads the main action but sacrifices completeness.

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 4 parameters, no output schema, and no annotations, the description is woefully incomplete. It fails to explain what 'preview' means, what the tool returns, or how to use the parameters. A minimal description for a tool of this complexity should provide parameter context and expected output behavior.

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%, and the description does not explain any of the 4 parameters (oid, case_number, telemetry_id, token_ttl_seconds). The agent cannot infer their purpose or format from the description alone.

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 action ('Preview removing telemetry') and the resource ('a case'), matching the tool name. However, it does not distinguish this from sibling tools like lc_preview_add_case_telemetry or lc_preview_update_case_telemetry, missing an opportunity to specify the removal aspect.

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 is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context for telemetry removal, or distinction between preview and actual removal.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/geoffbelknap/limacharlie-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server