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Edit SLOs

edit_slos
Destructive

Create, update or delete an SLO, through the Telemetry Machine REST API (https://telemetrymachine.com/docs/api.md). Body: {"name", "definition", "description"?, "owner"?}, the definition as its JSON Schema describes.

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": {
      "action": "<action>"
    },
    "name": "edit_slos"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNo
bodyNoThe JSON body the action takes.
actionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / body / additionalProperties
      Previous value: -{}New value: +true
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=true, so the mutation profile is known and the description doesn't contradict it. The description adds that operations are proxied through the Telemetry Machine REST API with a docs link, which is genuinely useful context, but it says nothing about what delete destroys, whether it is reversible, or what a failure looks like.

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

Conciseness3/5

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

It is short and front-loads the verb/resource, but the trailing clause 'the definition as its JSON Schema describes' is clipped to the point of ambiguity. The body field list is helpful yet compressed into a single run-on sentence.

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 no output schema the description needn't explain returns, but for a destructive three-action tool with a nested free-form body it should clarify per-action requirements (id for update/delete) and the delete consequence. It covers the body shape and the API provenance but leaves the riskiest semantics unexplained.

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 coverage is only 33% (only the free-form body parameter is described), so the description has to carry weight, and it does partially by enumerating body fields {name, definition, description?, owner?} and marking which are optional. However it never explains the id parameter or how required body fields vary per action, leaving a meaningful gap.

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 gives a specific verb set (create/update/delete) bound to a specific resource (SLO), and the sibling get_slos makes the read/write split obvious from the name alone. It stops short of explicitly naming the read counterpart, so it's clear but not fully differentiated.

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 the action enum: an agent infers create/update/delete from the schema rather than from prose. There is no explicit guidance on prerequisites (e.g. that an existing id is needed for update/delete), no mention of get_slos as the read alternative, and no when-not-to-use note.

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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