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match_project

Finds candidate projects from partial names, categories, or descriptions, providing match reasons to resolve ambiguity before selecting episodes.

Instructions

Fuzzy project matching. Given a partial project name, category, or description, returns candidate projects with match reasons. Useful for confirming 'which game did you mean?' before drilling into episodes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNoMax project matches to return
Behavior3/5

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

No annotations provided; description carries full burden. States returns candidates with match reasons but does not disclose fuzzy matching threshold, partial match behavior, or side effects. Adequate but not detailed.

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?

Two sentences, front-loaded with action ('Fuzzy project matching'), no wasted words. Efficient and clear.

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 no annotations or output schema, description covers function and use case adequately for a low-complexity tool. Could include return format example but not essential.

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

Parameters4/5

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

Schema coverage 50% (top_k has description). Description adds meaning for query (partial name, category, description) beyond schema. For top_k, description adds no value over schema. Overall, helpful but incomplete.

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 fuzzy matching on project name/category/description, returning candidates with match reasons. Distinguishes from siblings like list_projects (exact listing) and find_episodes (episodes).

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

Usage Guidelines4/5

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

Explicit use case: confirming 'which game did you mean?' before drilling into episodes. Provides context but no exclusions or alternatives mentioned.

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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