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Agent workflow DAG validator

privi_pro_dependency_dag
Read-only

Find safe topological task order and reject cyclic dependencies. PAID ONLY: 5 prepaid credits; production billing required.

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": {
      "tasks": "<tasks>"
    },
    "name": "privi_pro_dependency_dag"
  }
}

Input Schema

NameRequiredDescriptionDefault
tasksYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavior: it rejects cyclic input and is paid-only at 5 prepaid credits with production billing required — relevant before invocation. It does not say whether a cycle produces an error, a partial result, or a flag, which is the key behavioral unknown.

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?

Two short, front-loaded sentences with no filler: the function is stated first, the billing constraint second. The only weakness is that space given to billing was not spent on the input shape, but the text itself is lean.

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?

With no output schema, no enum hints, and zero parameter documentation, the description should explain the expected task object shape and what a successful versus cyclic result looks like. It omits both, leaving an agent unable to construct a valid call from the definition alone.

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% and the single parameter 'tasks' is just an untyped array of unspecified element shape — an agent cannot know what fields each task needs (id, dependencies, ordering keys). The description mentions nothing about task structure, so the coverage gap is not compensated.

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 states a specific verb and result — 'Find safe topological task order and reject cyclic dependencies' — which tells an agent exactly what computation happens. It does not, however, distinguish itself from the near-identically named sibling 'privi_dependency_order', so an agent must guess which one to call.

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

Usage Guidelines2/5

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

There is no guidance on when to use this versus 'privi_dependency_order' or 'privi_pro_dependency_availability', despite those siblings sounding like competing options. Usage is only implied by the topic itself; no prerequisites, exclusions, or alternatives are stated.

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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