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decide_engine_approval

Approve or reject a pending engine transition approval. The platform records your decision and comments, then returns a binding to resume the engine.

Instructions

Approve or reject one pending company-engine transition approval.

The decision is recorded by the platform (separation of duties applies: the requester cannot approve their own transition). Returns the binding so the SDK can resume the engine with the bound approval. output="json" returns the platform status and the sealed binding as JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
outputNomarkdown
task_idYes
commentsNo
decisionYes

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

A4.2/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it delivers: it states the decision is recorded by the platform, imposes separation of duties, and explains that a binding is returned so the SDK can resume the engine. It also specifies that output='json' changes the return payload to platform status plus sealed binding. This gives the agent an accurate model of side effects and return behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four sentences, each with distinct value: purpose, platform side effect/constraint, binding return, and output format variant. It is front-loaded and contains no filler.

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?

The description covers purpose, side effects, and return behavior well, and an output schema exists, but it leaves key invocation details to inference: how task_id is obtained (presumably from list_engine_approvals) and what exact values decision accepts. For a no-annotation approval tool, that is a meaningful gap.

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%, so the description needed to document parameters, but comments and task_id are never mentioned. decision is only implied by 'Approve or reject' with no allowed values/enum, and output is partially described only for the json case. This is insufficient for a 4-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States an unambiguous action and resource: 'Approve or reject one pending company-engine transition approval.' That verb+resource combination distinguishes it from generic sibling approve_task/reject_task, which concern tasks rather than engine transitions.

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

Usage Guidelines4/5

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

Clear context is provided: it applies to one pending company-engine transition approval, and the separation-of-duties note tells the agent when the requester cannot use this tool. It does not explicitly name alternative tools such as list_engine_approvals or decide_workflow_improvement_packet, so the vs-alternatives routing is left mostly implicit.

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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