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kapruka

Review Guru MCP Server

by kapruka

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Search across all businesses by name, cuisine, neighborhood, or doctor specialty. Returns up to 50 results with full-text matching.

Instructions

Full-text search across all businesses. Uses SQLite FTS5 server-side.

Args: query: Free text — name, cuisine, neighborhood, doctor specialty, etc. limit: Max results, 1-50 (default 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 only mentions the use of SQLite FTS5, but does not disclose behavioral traits such as case sensitivity, ranking, pagination, rate limits, or performance implications. More detail is needed for a search tool.

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 very concise: two sentences and a brief argument list. Every word serves a purpose, and the structure is front-loaded with the core purpose.

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 that an output schema exists, the description does not need to explain return values. It covers the search scope and parameter details. However, it could add more on how FTS5 affects search behavior (e.g., stemming, stopwords) for full completeness.

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 description coverage is 0%, so the description must compensate. It explains the query parameter with examples (free text for name, cuisine, etc.) and the limit parameter with valid range and default. This adds meaningful context beyond the raw schema.

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 states 'Full-text search across all businesses' and specifies that it uses SQLite FTS5. This is a specific verb-resource combination that clearly distinguishes it from sibling tools like get_business or list_businesses.

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?

The description provides clear context for use (searching across businesses with free text) and gives examples (name, cuisine, etc.). However, it does not explicitly state when not to use it or which sibling tools are alternatives, though the distinction is implied.

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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