Skip to main content
Glama

Bezal — Local Business Intelligence for AI Agents

Get reviews

get_reviews
Read-only

Get reviews for a specific business: Bezal reviews (rating, text, verified flag, date and the reviewer as first name and last initial) plus the Google rating and review count.

Input Schema

NameRequiredDescriptionDefault
limitNoMax reviews to return
business_idYesBusiness UUID

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful value by disclosing the composition of the response (Bezal reviews with rating/text/verified/date/reviewer name form, plus Google rating and review count), but says nothing about ordering, pagination, or what happens when limit truncates results.

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?

A single front-loaded sentence that names the resource first and then enumerates returned fields; nothing is wasted. Slightly dense parenthetical but appropriate for the amount of information.

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?

For a simple two-param read tool with full schema coverage and no output schema, the description adequately covers what is returned, including reviewer anonymization, which is important context. Only ordering/pagination and limit-edge behavior are missing.

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 limit and business_id both documented in the schema, so baseline is 3. The description mentions 'a specific business' consistent with business_id but adds no detail on limit behavior or truncation beyond what the schema states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (get reviews for a specific business) and enumerates the returned fields, which distinguishes it from siblings like get_business or compare_businesses. It doesn't explicitly contrast with a sibling, so it stops short of 5.

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?

Usage is implied by 'for a specific business' (needs a business_id), but there is no explicit when-to-use/when-not guidance or named alternative such as get_business for general business info. An agent can infer the scenario but not the boundaries.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources