Desk

save escalation limit

save_escalation_limit

DestructiveIdempotent

Store the escalation limit the user has explicitly approved for one channel. maxTier must be on tierLadder. Promise flags default closed unless the user sets them true. A limit does not itself approve refund, feature, or timeline wording.

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": {
      "deskId": "<deskId>",
      "name": "<name>",
      "channel": "<channel>",
      "tierLadder": "<tierLadder>",
      "maxTier": "<maxTier>"
    },
    "name": "save_escalation_limit"
  }
}

Input Schema

Name	Required	Default
`name`	Yes
`notes`	No
`deskId`	Yes
`status`	No	APPROVED
`channel`	Yes
`maxTier`	Yes
`tierLadder`	Yes
`expectedRevision`	No
`allowRefundPromise`	No
`allowFeaturePromise`	No
`allowTimelinePromise`	No

Output Schema

Name	Required	Description	Default
`data`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 5, 2026

TDQS

A3.6/5.0

Behavior4/5

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

Annotations already declare this a destructive, idempotent write, and the description adds real behavioral context beyond them: maxTier must be a member of tierLadder, the three promise flags default to closed, and the important semantic caveat that saving a limit does not itself authorize refund/feature/timeline wording. It still omits what a destructive save overwrites and how expectedRevision conflicts are handled.

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?

Four short sentences, purpose front-loaded, followed by validation and default-behavior rules with no filler. Slightly more could be said about the destructive/concurrency behavior, but every sentence earns its place.

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?

An output schema exists, so return values need not be described, and the semantic caveat about what a limit does not authorize is valuable. But for a destructive 11-parameter write with 0% schema coverage, the description is silent on revision/concurrency handling, required deskId, and overwrite semantics, leaving real gaps.

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 0% across 11 parameters, so the description must carry the burden; it does explain the trickiest ones (maxTier vs tierLadder, the three allow*Promise defaults, and channel scope). It leaves deskId, name, notes, status, and expectedRevision entirely undocumented, so compensation is only partial.

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 ('Store the escalation limit ... for one channel') and scopes it to a single channel, which distinguishes it from the read-side sibling list_escalation_limits. It does not explicitly name an alternative or contrast itself with save_approved_commitment/save_refund_rule, so it falls short of a 5.

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?

'The user has explicitly approved' implies a precondition for use, which is useful workflow context. However, there is no explicit when-to-use vs when-not guidance, no mention of the related list_escalation_limits read tool, and no statement about what to do when a limit already exists.

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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