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Dismiss an optimization decision

optimization_dismiss_decision
Destructive

Dismiss one open tenant-owned recommendation without mutation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
decision_refYes
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.7/5.0
Behavior1/5

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

Annotations declare readOnlyHint=false and destructiveHint=true, i.e. a write operation with destructive potential. The description asserts the opposite with 'without mutation', which tells an agent the call changes nothing. Beyond that conflict, it discloses nothing about what a dismissal does to the decision's state, whether it is reversible, or permission requirements.

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?

A single front-loaded eight-word sentence with no padding or redundancy. It is efficient, though arguably over-terse for a state-changing tool, so it is not maximally sized for the job.

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 non-read-only tool with no output schema and 0% parameter documentation, the description omits the essentials: what state the decision ends in, whether dismissal is reversible, side effects on the underlying campaign, and how to obtain the required decision_ref. It is not adequate for correct, confident invocation.

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% across two parameters, so the description carries the full burden. It only loosely implies that decision_ref points at a recommendation; it says nothing about the ttdecision_... identifier format or the mctx_v1_... connection_context token, both of which the agent must infer solely from regex patterns.

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 ('Dismiss one open tenant-owned recommendation') with built-in scope constraints ('one', 'open', 'tenant-owned') that make the action identifiable. The only slight weakness is terminology drift: the title/name say 'decision' while the body says 'recommendation', and no sibling is named to differentiate it from the optimization_list_decisions / optimization_prepare_action family.

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 qualifiers 'one open tenant-owned' imply a precondition (only open decisions you own can be dismissed) but it never says where to obtain a valid decision_ref or whether listing tools should be used first. There is no explicit when-not or alternative-tool guidance, so usage is only implied.

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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