Skip to main content
Glama

flush_sdk_runtime_outcomes

Persist queued outcomes in the authenticated tenant/company ledger.

Instructions

Persist queued outcomes in the authenticated tenant/company ledger.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idempotency_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Addedv0.1.1

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a write operation ('Persist') and mentions authentication context, but it does not explain side effects (e.g., whether queued outcomes are cleared), idempotency behavior, failure semantics, or authorization requirements. This leaves significant behavioral ambiguity.

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 concise sentence with no meaningless filler. It is easily readable and front-loaded with the action verb. It could be structurally improved by including parameter context, but it is not verbose or redundant.

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

Completeness2/5

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

The tool appears to be part of an SDK runtime workflow given siblings like list_sdk_runtime_outcomes, but the description does not clarify the workflow context, how outcomes become queued, or the role of idempotency. An output schema exists, which removes the need to detail return values, but the missing behavioral and usage context makes the definition incomplete for an agent to safely invoke this state-changing tool.

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

Parameters2/5

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 mention the idempotency_key parameter at all. While the parameter name is self-explanatory to a degree, the description does not explain its purpose, default behavior, or when it should be set. The description fails to compensate for the lack of schema-level documentation.

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 uses a specific verb ('Persist') and a defined object ('queued outcomes') with a clear target ('authenticated tenant/company ledger'). It accurately describes the tool's function. However, it does not explicitly distinguish this tool from related sibling tools such as list_sdk_runtime_outcomes or manage_sdk_runtime_project.

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?

The description offers no direct guidance on when to call this tool versus alternatives. It implies that queued outcomes should be persisted, but it does not state when queuing occurs, when flushing is required, or whether idempotency should be supplied.

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/RPasquale/lightbulb-mcp'

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