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holycube

game-narrative-mcp

by holycube

Simulate Path

simulate_path

Simulate branching narrative paths from a start node using given flags, knowledge, and relationships to predict story outcomes.

Instructions

给定 flag/knowledge 推演分支路径

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flagsNo
start_idNo
knowledgeNo
project_idNo
relationshipsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.1

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It never states whether the operation is read-only or mutating, whether results are deterministic, what the simulated path output looks like, or whether project/workspace context is required. The word '推演' weakly implies pure computation, but nothing is disclosed explicitly.

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 short sentence with no padding or redundancy, front-loading the inputs and the operation. It is efficient, though the brevity reflects under-specification rather than disciplined concision.

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?

For a tool with five parameters (including nested objects), no required fields declared, no annotations, and no output schema, a one-line description is inadequate. An agent cannot determine the call contract, what start_id anchors, how relationships and flags combine, or what comes back.

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 five parameters, so the description must compensate and does not. It references only flags and knowledge, leaving start_id, project_id, and the relationships map (a nested object) entirely unexplained in both schema and description. The two named inputs also lack any format or interaction semantics.

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

Purpose3/5

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

The description names a verb (推演 / simulate-derive) and a resource (分支路径 / branch path) and hints at inputs (flags/knowledge), so the general intent is graspable. However, it is ambiguous against close siblings such as simulate_run, validate_branch_graph, and estimate_branching_factor, and never clarifies what a 'path' is or what role start_id/project_id play. Specific enough to avoid tautology, but not distinguishing.

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 when-to-use guidance, no prerequisites, and no mention of any alternative tool. With ~50 sibling tools in this workspace, the agent gets no help deciding between simulate_path and simulate_run or the branch-graph validators.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.