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YesTechie — UniFi Network & Security Integrator

Clients

get_clients

Client logos, map count, deployments by state and city. Use when the person asks who YesTechie has worked for. (REST: GET /api/agent/v0/clients)

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_clients"
  }
}

Input Schema

NameRequiredDescriptionDefault
detailNo
fieldsNoComma-separated field names

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the burden. It partially compensates: the 'REST: GET /api/agent/v0/clients' note signals this is a non-mutating read, and the content listing hints at the return shape. It says nothing about permissions, result size, pagination, or whether the data is a static snapshot, all of which an agent might want for a data-retrieval tool.

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?

Two compact sentences, front-loaded with what the tool returns and followed by the usage trigger, with the endpoint appended as a cheap locator. Slightly telegraphic ('Client logos, map count...' is a fragment), but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-required-parameter read tool with no output schema, the content list substitutes reasonably for a return description. However, the optional 'detail' and 'fields' parameters—including what 'full' changes—are left entirely unexplained, leaving a gap an agent would hit when trying to narrow the response.

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

Parameters2/5

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

Schema description coverage is only 50%: the 'fields' parameter is documented in the schema, but 'detail' has no description and an enum containing a single value ('full'), which the description never explains. The description adds no parameter guidance at all, so it does not compensate for the uncovered parameter.

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 enumerates the resource contents (client logos, deployment counts by state/city) and pairs that with the REST endpoint GET /api/agent/v0/clients, so the agent can tell this returns client/portfolio reference data. It lacks an explicit verb and the opening is a content list rather than a statement of action, but the resource is unambiguous and clearly distinct from siblings like get_team or list_projects.

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 an explicit trigger: 'Use when the person asks who YesTechie has worked for.' That is a concrete invocation condition. It does not name alternatives or exclusions (e.g., project detail vs. client roster), which is why it falls short of a 5.

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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