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Dictionary of Applied Machine Learning

get_related_terms

The terms a given entry cross-references (its See-also list), with their abstracts.

Input Schema

NameRequiredDescriptionDefault
termYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It states the return contains cross-referenced terms and abstracts, but does not say whether the operation is read-only, how missing terms are handled, whether the result is ordered, or what permissions are required.

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?

The description is a single concise sentence with no wasted words, and it front-loads the key concept. It is slightly under-specified as a fragment rather than a complete usage-oriented sentence, but the structure is efficient.

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?

For a simple one-parameter read tool, the description gives enough to understand the returned content (related terms plus abstracts). However, without annotations or an output schema, it still omits term format, empty-result behavior, and read-only expectations, leaving some gaps for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the single parameter 'term' is undocumented in the schema. The description only weakly clarifies that 'term' identifies the entry whose See-also list is returned; it does not specify expected format, matching rules, or case sensitivity.

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?

The description clearly identifies the resource as the cross-referenced terms (See-also list) for a given entry, and adds that abstracts are included. It implicitly distinguishes from sibling tools like lookup_term and search_terms, though it does not explicitly name them or contrast use cases.

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 on when to use this tool versus lookup_term, search_terms, or list_all_terms. The description implies the use case (retrieving See-also entries) but gives no explicit conditions, exclusions, or alternatives.

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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