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Search GMAT documentation semantically to retrieve relevant sections with full content and sources.

Instructions

Semantic search over GMAT documentation. Returns relevant sections with full content and sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query - can be a question, topic, or keyword related to GMAT
topKNoMaximum number of results to return (default: 5). Keep small - each result includes the full section text.
minScoreNoMinimum cosine similarity threshold (0-1, default: 0.3). Lower it only if a query returns nothing.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not explicitly state read-only behavior, authentication needs, rate limits, or what happens on empty results. The description is too brief for full transparency.

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?

Single sentence that front-loads the purpose and result, with no wasted words. Efficient and to the point.

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?

No output schema exists, so description should convey return format. It mentions 'full content and sources' but does not specify structure (list, array, etc.) or pagination. Adequate but not detailed.

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

Parameters3/5

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

Schema coverage is 100% with clear descriptions for query, topK, and minScore. The description adds no extra semantics beyond 'returns relevant sections,' so baseline 3 is appropriate.

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 clearly states it performs semantic search over GMAT documentation and returns relevant sections with content and sources, distinguishing it from sibling tools focused on idioms, samples, and running GMAT.

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?

The description implies use for general search but does not explicitly state when to use this tool over alternatives or provide exclusions. Sibling tools suggest specific purposes, but no direct guidance is given.

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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