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Dictionary of Applied Machine Learning

search_terms

Search term names and definitions for a keyword or phrase; returns the best matches.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

No annotations are supplied, so the description bears the full disclosure burden. It mentions ranked 'best matches' but does not state read-only behavior, match scope, permissions, pagination or limit behavior, or what happens with zero results.

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 front-loaded sentence with no filler. It is appropriately concise, though a little more structure around search scope and ranking could improve clarity.

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 two-parameter search tool, it states the core purpose and a basic return notion ('best matches'). But with no annotations, no output schema, an undocumented limit parameter, and no sibling routing, an agent lacks enough detail to invoke it confidently or choose among alternatives.

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% for both parameters. The description only implies that query is a keyword or phrase; it never explains the limit parameter, accepted query syntax, matching mode, or default result count.

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 uses a specific verb ('Search') and resource ('term names and definitions') and indicates matching against a keyword or phrase. It is clear enough to distinguish a search operation in broad terms, but it does not explicitly differentiate itself from lookup_term, list_all_terms, or get_related_terms, so it falls short of a 5.

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

Usage Guidelines3/5

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

It implies usage for keyword or phrase queries, suggesting a search context. However, it gives no explicit when-to-use guidance versus exact lookup, full listing, or related-term retrieval, and no exclusions are stated.

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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