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Kanal Varna — drains, leaks & plumbing (Varna, BG)

List Kanal Varna services

list_services
Read-onlyIdempotent

Call this when the user asks what Kanal Varna does / which services it offers, or wants all services in a category. Categories: otpushvane (drain unblocking), techove (leaks, damp, mould), avarii (emergencies), vik (plumbing repairs), hidro (waterproofing & drainage), izmervaniya (home measurements), naem (equipment hire & cleaning), dom (home repairs).

Input Schema

NameRequiredDescriptionDefault
categoryNoOptional category id; omit for all services.
languageNoLanguage of the user's question: 'bg' (Bulgarian), 'en' (English) or 'ru' (Russian). If omitted it is detected from the text; default 'bg'.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare this as a read-only, idempotent, non-destructive lookup, so the safety profile is covered. The description adds the category taxonomy but says nothing about return shape, ordering, or fallback behavior when a category is empty; since an output schema exists, that omission is minor.

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?

The trigger condition is front-loaded in one sentence, followed by a compact category glossary. The list is long but each entry carries information an agent cannot infer from the raw enum ids.

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 two-parameter read-only lookup with full schema coverage and an output schema, the description covers intent, scope, and category semantics. Nothing essential is missing, though a one-clause pointer to find_service would make routing airtight.

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 coverage is 100%, so the baseline would be 3, but the description adds real meaning by glossing each opaque enum id in English (otpushvane = drain unblocking, naem = equipment hire). The language parameter's behavior is left entirely to the schema.

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 uses a specific verb (list) and resource (Kanal Varna services) and frames the user intent it answers ('what does Kanal Varna do'). It does not explicitly distinguish itself from the sibling find_service, which is the main gap keeping it from a 5.

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 condition: when the user asks what the company does, which services exist, or wants all services in a category. It stops short of naming an alternative (e.g. find_service for a single matching service), so the when-not case is left implicit.

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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