Skip to main content
Glama
bitmaster162

continuityos

by bitmaster162

predict

Forecast your AI agent's stance on a given situation using recorded rules and precedent, enabling proactive alignment with established policies.

Instructions

Digital-twin: likely stance on a situation, grounded in recorded rules and precedent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
situationYes
Behavior1/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It provides no information about side effects, required permissions, data access, or output behavior, leaving the agent uninformed.

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

Conciseness3/5

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

The description is very concise (one sentence) but lacks structure and substance. It is not rambling, but the brevity works against clarity rather than serving efficiency.

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?

Given the simple schema and no annotations, the description still leaves major gaps: no explanation of what constitutes a 'situation', what a 'stance' looks like, or what the tool returns. It is minimally viable at best.

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?

The schema has one parameter 'situation' with no description, and the tool description does not mention or explain it. With 0% schema coverage, the description fails to add any meaning to the parameter.

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 indicates the tool predicts a stance based on recorded rules and precedent, which is somewhat clear. However, the phrase 'Digital-twin' is jargon and the description does not explicitly differentiate from sibling tools like recall or find.

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?

No usage guidance is provided. The description does not state when to use this tool over alternatives, nor does it give context or exclusions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bitmaster162/continuityos'

If you have feedback or need assistance with the MCP directory API, please join our Discord server