get_prerequisites
Get the full upstream prerequisite chain for a concept — everything it depends on.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Domain | |
| concept | Yes | Concept label |
Get the full upstream prerequisite chain for a concept — everything it depends on.
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Domain | |
| concept | Yes | Concept label |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral disclosure. It states the tool retrieves a 'full upstream prerequisite chain' but does not clarify whether this includes transitive dependencies, depth limits, or side effects. The read-only nature is implied but not explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that immediately conveys the tool's purpose. No unnecessary words. Well front-loaded with the key action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and two parameters with full schema coverage, the description is minimally adequate. However, it lacks details on return format or whether the chain is exhaustive, which would be helpful for an agent using the output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with both parameters described (Domain enum and Concept label). The description adds no additional meaning beyond the schema, so baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'full upstream prerequisite chain for a concept', with the clarifying phrase 'everything it depends on'. This distinguishes it from sibling tools like query_ckg or search_concepts, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or when not to use it. The agent must infer usage solely from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a distinct purpose: listing domains, searching concepts, getting prerequisites, and querying subgraphs. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern in snake_case (get_prerequisites, list_domains, query_ckg, search_concepts), making them predictable and easy to understand.
With only 4 tools, the server is well-scoped for exploring a knowledge graph. Each tool serves a clear need without redundancy or excessive specialization.
The set covers key discovery and traversal operations, but lacks a tool to retrieve detailed properties of a single concept without its graph neighbors. This is a minor gap for a complete read-only surface.