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search_side_projects_by_technology

Locate side projects matching a technology skill to highlight competency. Supports case-insensitive partial search with 'and'/'or' token modes.

Instructions

Find side projects that demonstrate competency with a given technology.

Each result includes: id, name, description, matched_technologies, resume_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
technologyYesTechnology/skill name fragment to search for (case-insensitive, partial match)
modeNoToken match mode — 'and' (default) requires all words to appear in the technology name; 'or' requires any word to matchand

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Lists result fields but lacks details on search behavior (e.g., partial matching, case-insensitivity covered in schema) and no disclosure of side effects or auth needs.

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?

Three concise, front-loaded sentences with no wasted words.

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?

Sufficient for a search tool with documented output and no nested objects; adequately covers required info.

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 covers 100% of parameters; description adds minimal value beyond 'demonstrate competency' which is slightly more context but not significant.

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?

Description clearly states it finds side projects by technology, lists result fields, and distinguishes from generic search_side_projects sibling.

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?

Implies use case but no explicit when-to-use or when-not-to-use compared to sibling tools like search_side_projects.

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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