Skip to main content
Glama

neuron_schedule_remove

Remove a scheduled recipe by its schedule ID to cancel pending automation and free resources.

Instructions

Remove a scheduled recipe

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schedule_idYesID of the schedule to remove

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.1

TDQS

C2.9/5.0
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 of disclosing effects. 'Remove' implies deletion, but it does not state whether the action is permanent, whether it only unschedules the recipe, or whether there are side effects on active schedules.

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 a single short sentence with no filler words. It is front-loaded and easy to parse, though it sacrifices useful context for brevity.

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

Completeness3/5

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

For a simple one-parameter destructive action, the description plus schema provide the minimum needed to invoke the tool. However, it lacks context about effect on the underlying recipe or relationship to schedule_list/schedule_toggle, leaving some ambiguity.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameter meaning is already documented. The tool description adds no extra semantic detail beyond what the schema provides for schedule_id.

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 states a clear verb and object: 'Remove a scheduled recipe.' It is specific enough to distinguish from most sibling tools, though it could more explicitly clarify that it removes a schedule entry rather than the recipe itself.

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 given about when to use this tool versus related tools like neuron_schedule_list, neuron_schedule_toggle, or neuron_recipe_delete. The agent must infer usage from the tool name and minimal description.

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/conquext/neuron-inspector'

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