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NocturnusAI

NocturnusAI

by Auctalis
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Hybrid

predicates

Discover your knowledge base schema by listing stored predicates with arity, fact count, and rules. Use this read-only tool before querying to understand available knowledge.

Instructions

Discover the knowledge base schema. Lists all predicates currently stored with arity (argument count), fact count, and whether they have associated rules. Use this before querying to understand what knowledge is available. Side effects: none (read-only). Auth: requires X-Tenant-ID header; FACT_READ permission when auth is enabled. Rate-limited per principal. Errors: none under normal operation.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "predicates"
  }
}

Input Schema

NameRequiredDescriptionDefault
scopeNoOptional scope filter

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.12

TDQS

A4.3/5.0
Behavior5/5

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

Without annotations, the description fully discloses side effects (none, read-only), authentication needs (X-Tenant-ID header, FACT_READ permission), rate limiting, and error behavior (none under normal operation). Comprehensive.

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?

Description is concise and front-loaded with the core purpose. Including auth and rate limit details adds some length but is justified given no annotations. Slightly verbose but well-structured.

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

Completeness4/5

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

Covers purpose, parameters, behavior, auth, and errors. Lacks explicit return format, but describes what data is returned (arity, fact count, rules). Adequate for a discovery tool with no output schema.

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

Parameters3/5

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

Only one parameter 'scope' is described in the input schema with 100% coverage. The description does not add extra meaning beyond the schema, but implies unfiltered listing by default. Baseline 3 applies.

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

Purpose5/5

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

Clearly states it lists all predicates with arity, fact count, and rules. Distinguishes from sibling query tools like ask and recall by explicitly noting its use for schema discovery before querying.

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

Usage Guidelines4/5

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

Explicitly advises to use this tool before querying to understand available knowledge. Mentions read-only nature, auth requirements, and rate limits, providing clear context for appropriate usage.

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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