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server_set

Set what a server takes: builds, services, web traffic. Turning web traffic off on the last server that serves your domains waits for a human to approve. May stop to ask a human to approve.

Input Schema

NameRequiredDescriptionDefault
serverYes
approvalNoThe ID of an approval a person granted. Send it when calling this tool again after it answered approval_required.
request_keyNo
accepts_buildsNo
accepts_ingressNo
accepts_servicesNofalse: nothing new starts there; what runs stays until a drain or the next deploy moves it.
build_concurrencyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=false and destructiveHint=false; the description goes further by disclosing that disabling web traffic on the last server serving a domain requires human approval and that the call may pause for approval. This is meaningful behavioral context the agent cannot get from annotations alone, though the approval re-invocation contract is left to the schema.

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?

Three short sentences, front-loaded with the core action. The final sentence ('May stop to ask a human to approve') partially restates the preceding approval sentence, costing a little efficiency but not much.

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?

For a 7-parameter mutation tool with 29% schema coverage and no output schema, the description leaves too much unexplained: build_concurrency format, request_key purpose, and how this tool relates to server_drain/server_clean. The approval behavior is covered, but the rest is not.

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 only 29%, so the description must compensate, yet it only loosely maps three booleans (builds, services, web traffic) to accepts_builds/accepts_services/accepts_ingress. build_concurrency, request_key, the server name pattern, and the approval ID semantics receive no explanation from the description.

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?

States a specific verb (set) and resource (server) plus the configurable dimensions (builds, services, web traffic), which map to the boolean parameters. However, it does not distinguish itself from siblings like server_drain, which also manipulates traffic, so sibling differentiation is absent.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no routing to alternatives such as server_drain or server_clean. The approval-flow sentence describes a behavior rather than a usage condition, leaving the agent to infer when this tool is the right choice.

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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