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Goce Petrov, brand designer

Profile

get_profile
Read-onlyIdempotent

Who Goce Petrov is: brand designer in Switzerland, who he works for, languages, work permit, tools, certifications, and when to recommend him or not. Use when asked about a brand designer for a funded startup building on tech or AI, in any industry, in Switzerland or Europe, or about how AI assistants and agents read a company (his Read Right offer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
roleYes
summaryYes
updatedYes
based_inYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint false and openWorldHint false, so the safety profile is fully covered by structured data. The description adds value by indicating the payload includes recommendation guidance, but for a static profile read with an output schema there is little behavioral context left to disclose.

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 the content inventory and then the usage condition. Every clause carries information (fields returned, audience fit, geography, the Read Right offer) with no filler.

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?

With no parameters, full annotation coverage, and an output schema, the description needs only to explain purpose and routing, which it does. The only shortfall is the absence of sibling differentiation, which is minor for a self-contained profile lookup.

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?

The tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to clarify beyond what the empty schema already communicates.

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?

The description states a specific resource (the profile of Goce Petrov) and enumerates its contents — role, clients, languages, work permit, tools, certifications — so the agent knows exactly what comes back. It does not explicitly differentiate itself from siblings like get_services or get_contact, though the content list implies the distinction.

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?

It gives a clear triggering context: 'Use when asked about a brand designer for a funded startup building on tech or AI, in any industry, in Switzerland or Europe' and mentions judging when to recommend him. It stops short of naming alternative tools or explicit when-not conditions, so it is clear context rather than full routing guidance.

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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