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format_bracket_plan

Scale-in ⅓/⅔ + structural rail stop. +25/−25 from fill E is fallback only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brokerNorobinhood
alert_jsonNo
use_latestNo
entry_premiumYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / broker
      Added value: +{
      +  "default": "robinhood",
      +  "title": "Broker",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.3/5.0
Behavior1/5

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

With no annotations provided, the description must disclose behavior, but it only mentions jargon like 'fill E' and 'fallback only' without explaining what the tool does, what side effects it has, or what it returns. This is a significant gap for a tool that likely performs computation or formatting.

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

Conciseness2/5

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

The description is extremely short, which could be seen as concise, but it lacks structure and clarity. It is cryptic and under-specified, offering no front-loaded purpose or actionable steps. It is not a case of effective conciseness but rather inadequate specification.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex (involves bracket plan generation, scale-in logic, structural rail stops) yet the description omits essential details like how the fallback works, what the output structure is, and how it relates to entry_premium. Even with an output schema, the description does not help an agent understand when or how to invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the four parameters (broker, alert_json, use_latest, entry_premium). The reference to 'fill E' does not map to any parameter. The description provides zero value for parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description does not clearly state that the tool formats a bracket plan. It reads like a trading strategy note (scale-in, structural rail stop, fallback) rather than a verb+resource statement. The name 'format_bracket_plan' suggests a formatting function, but the description never says that, leaving the purpose ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no mention of when to use this tool versus its siblings (e.g., plan_entry, plan_alpaca_entry). The description gives no context, conditions, or alternatives, so an agent has no guidance on selecting it.

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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