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search_education_by_competency

Search education records by skill competency to match coursework with job requirements. Returns institutions, degrees, and matched competencies.

Instructions

Find education entries that demonstrate competency with a given skill — useful for matching a candidate's coursework/training to a specific position's requirements.

Each result includes: id, institution, degree, year, matched_competencies, resume_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
competencyYesSkill/competency name fragment to search for (case-insensitive, partial match)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description must carry behavioral info. It mentions case-insensitive partial match (already in schema) and lists return fields, but does not disclose pagination, ordering, or other behavioral traits beyond the basic search mechanism.

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?

The description is two sentences, front-loaded with the purpose, and contains no unnecessary words. It is efficiently structured for quick comprehension.

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?

Given the presence of an output schema, the description adequately lists key return fields. However, it omits details like pagination or ordering expectations. For a simple search tool, this is mostly complete.

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% for the single parameter, and the description's parameter info (case-insensitive partial match) is already in the schema. The description adds no extra semantic meaning beyond what schema provides.

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 the tool finds education entries by competency, with a specific use case of matching coursework to position requirements, distinguishing it from sibling tools like search_education and search_resumes_by_skill.

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 usage for matching candidates to positions but does not explicitly state when to use this tool versus alternatives or provide exclusions. No guidance on when not to use.

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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