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UltraTech Pakistan

Get service details

get_service
Read-onlyIdempotent

Full details of one service as markdown: what's included, who it's for, brands, process and FAQs. Use the slug from list_services or search_services.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesService slug, e.g. cctv-camera-installation-lahore

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds valuable output context the annotations don't carry: the response is markdown and covers specific content sections. It does not mention behavior for an unknown/stale slug, which keeps it from a 5.

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 tight sentences: the return content is front-loaded, and the input-sourcing hint follows. Every clause earns its place with no redundancy.

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 single-parameter, read-only, fully annotated tool with no output schema, the description sufficiently covers both what goes in and what comes back. Only minor gap is absence of any error/not-found behavior for an invalid slug.

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?

With one parameter and 100% schema coverage, the schema already documents the slug and gives an example. The description adds provenance meaning beyond the schema by telling the agent where to source a valid slug from (list_services / search_services), which is genuinely useful.

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

Purpose5/5

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

States a specific verb and resource ('Full details of one service') and enumerates the payload (inclusions, audience, brands, process, FAQs), which cleanly separates it from list_services and search_services. An agent can identify this as the single-item detail fetcher without opening the schema.

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?

'Use the slug from list_services or search_services' gives explicit provenance for the required input and implicitly defines the workflow. It lacks an explicit when-not-to-use clause (e.g., don't call this for browsing multiple services), so 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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