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Olothea — Collaborative Human–AI Research

knowledge_catalog

Read-only

Discover the Olothea knowledge library: research areas, topic keywords, provenance and available tools.

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": "knowledge_catalog"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description does add useful behavioral context by naming the categories of content the catalog returns (research areas, keywords, provenance, tools), but says nothing about result size, whether content is static or live, or whether it is expensive to call.

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 front-loaded sentence with no redundant wording; the enumerated content list earns its place. The only slight weakness is that the domain term "Olothea" is unexplained, and the list form reads more like a blurb than a structured statement of purpose.

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?

With no parameters, no output schema, and a simple read-only annotation, the definition supplies enough for an agent to call it correctly and to anticipate the shape of the response. Missing is any guidance on where this sits in a workflow relative to the search and workspace tools.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter meaning to explain beyond the schema; baseline 4 applies. The description correctly does not invent inputs, implicitly confirming this is a no-argument catalog call.

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?

Description uses a specific verb ("Discover") with a specific resource ("the Olothea knowledge library") and enumerates the catalog's contents: research areas, topic keywords, provenance, and available tools. That makes the tool's output scope concrete, but it never contrasts itself with siblings such as knowledge_search or workspace_discover, so differentiation is left to inference.

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?

"Discover" hints at an entry-point/browse role, but there is no explicit statement of when to call this instead of knowledge_search or workspace_discover, and no exclusions. Given the crowded sibling set, the agent is left to guess whether this is a first-stop index or an alternative to search.

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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