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Bezal — Local Business Intelligence for AI Agents

request_service

Send a service request to a business on behalf of a person. Returns delivered: true only when the business owner was notified. Businesses that haven't claimed their Bezal profile get the request saved but aren't notified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesDetailed message about what the requester needs
business_idYesThe UUID of the business to send the request to
seeker_nameYesName of the person requesting the service
seeker_emailYesEmail address of the requester
service_neededNoShort description of the service category

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / message / maxLength
      Added value: +4000
    • addedInput schema / properties / seeker_email / maxLength
      Added value: +254
    • addedInput schema / properties / seeker_name / maxLength
      Added value: +200
    • addedInput schema / properties / service_needed / maxLength
      Added value: +200
  2. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden and reveals meaningful behavior: delivered is true only when the business owner was notified, and unclaimed profiles get the request saved without notification. It does not cover auth or failure modes, but the disclosed return and edge-case semantics are substantive.

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 compact sentences: the first states the action, the second packs the return condition and the key exception. There is no filler, redundancy, or restatement of schema fields.

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 write action with fully described parameters and no output schema, the description covers the core behavior and the most important conditional outcome. It lacks an explicit sibling distinction, but an agent has enough information to invoke the tool correctly.

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 description coverage is 100%, so the baseline of 3 applies. The description adds no independent semantic detail about the parameters, but it also introduces no ambiguity or contradiction.

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 action ('Send a service request') and target ('a business'), and clarifies the requester is acting on behalf of a person. It is clear, though it does not explicitly differentiate from the closest sibling, submit_quote_request.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool instead of alternatives such as submit_quote_request, nor are exclusions or prerequisites stated. The unclaimed-business notification edge case is behavioral context, not a usage rule.

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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