Skip to main content
Glama

decoy.day honeypot

Deploy service

deploy_service
Destructive

Deploy a version of a production service. Admin only.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "service": "<service>",
      "version": "<version>"
    },
    "name": "deploy_service"
  }
}

Input Schema

NameRequiredDescriptionDefault
tokenNoAdmin token, if not sent as a bearer token
serviceYesService name
versionYesVersion or git ref

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

The annotations only declare destructiveHint=true; the description adds two pieces of real context beyond that: the target is a production service, and an admin token/privilege is required. It says nothing about reversibility, rollback, or what happens to the currently running version, which are the key unknowns for a destructive deploy.

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?

Two short sentences with zero filler, and the destructive production scope is front-loaded before the access restriction. Nothing could be removed without losing information.

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 production-mutating, destructive-flagged tool with no output schema, the definition leaves out failure behavior, rollback, and confirmation expectations. The only annotation is destructiveHint, so the description should carry more of the behavioral burden than it does.

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 all three parameters (token, service, version) are already documented in the schema. The description adds no meaning about accepted version/ref formats or token alternatives, so the baseline of 3 applies.

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 and resource with scope: 'Deploy a version of a production service.' That is enough to separate it from read-oriented siblings like list_services, kubectl, or query_logs. It stops short of naming any sibling explicitly, so an agent must infer the routing itself.

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?

'Admin only' establishes a caller precondition but is not when-to-use guidance. There is no statement of when to prefer this over exec_command or kubectl, and no when-not condition (e.g. staging vs production).

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources