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Glama

rss_shutdown

Gracefully stops the RSS daemon by acknowledging a shutdown request, ensuring the service terminates cleanly.

Instructions

rss_shutdown - Graceful shutdown hook for the daemon.

Return Format

Dictionary with success (bool) and acknowledgement message (str).

Examples

  • {} -> acknowledges shutdown request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does add useful nuance beyond the name by calling the shutdown 'graceful' and by noting the response is an acknowledgement of a 'request', hinting that termination may be asynchronous rather than immediate. However, it never states what actually gets stopped, whether in-flight work is drained, whether the daemon process exits, or what authority is required to trigger it.

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 definition is short and front-loads the purpose in the first line, then adds return format and a one-line example. The markdown section headers are slightly heavy for a zero-parameter tool whose return shape is already covered by the output schema, but nothing is padded or redundant in a harmful way.

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?

With an output schema present, the description need not explain the return value, yet it does so anyway, so no gap exists there. The remaining ambiguity is functional: it does not resolve whether this actually shuts down the daemon or merely registers/acknowledges a shutdown hook, which matters for an operationally significant, irreversible-feeling call with no annotations to fall back on.

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

Parameters4/5

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

The tool takes zero parameters (empty object, additionalProperties: false), so there is nothing to document and the baseline of 4 applies. The description correctly shows the empty invocation as '{}' in its example, reinforcing that no arguments are accepted.

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 names a specific verb and target ('Graceful shutdown hook for the daemon'), so an agent immediately knows this terminates/stops the daemon rather than performing any RSS feed work. Sibling tools (feeds_ops, readability_ops, reader_ops) are unrelated operation groups, so no differentiation is required, but nothing beyond the name is added to sharpen the scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by 'shutdown hook for the daemon' — an agent can infer this is called when the daemon should stop, but there is no explicit statement of when to call it versus letting the process exit naturally, nor any prerequisites or warnings. The word 'hook' suggests it may be invoked by a host process rather than by an agent, which is left unclarified.

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