Skip to main content
Glama
Sign In
intelligence-hub-mcp

intelligence-hub-mcp

by t012093
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

generate_crossover_digest

Produces an interdisciplinary crossover digest blending 80% core tracking with 20% serendipity, output as WIRED-style narrative Markdown.

Instructions

Generates an interdisciplinary crossover report combining 80% core tracking and 20% serendipity with WIRED-style narrative Markdown.

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": "generate_crossover_digest"
  }
}

Input Schema

NameRequiredDescriptionDefault
periodNodaily
fetch_latest_firstNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It usefully discloses the output style and composition ratio, but it does not mention side effects, persistence, required permissions, or whether the tool reads from the feed or external sources. This is adequate but incomplete.

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

Conciseness5/5

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

The description is a single front-loaded sentence with no filler. Every phrase adds relevant information about the output and style.

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

Completeness3/5

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

The output schema exists, both parameters are optional with sensible defaults, and the names are self-explanatory enough for a basic no-argument invocation. However, the definition is only minimally complete because it omits parameter semantics and usage guidance relative to sibling tools.

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 'period' or 'fetch_latest_first'. The agent gets no additional meaning beyond the parameter names and defaults, so the description fails to compensate for the schema's lack of explanatory text.

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?

The description names a specific verb ('Generates') and resource ('interdisciplinary crossover report'), then adds distinguishing detail about the composition (80% core tracking, 20% serendipity) and output format (WIRED-style narrative Markdown). This makes it easy to differentiate from the sibling fetch/search/list/status tools.

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 about when this tool should be used instead of sibling tools such as fetch_intelligence_feed or search_intelligence. No preconditions, exclusions, or alternative conditions are mentioned.

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

Deploy Server

Other Tools