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What TechFabric offers

get_services
Read-onlyIdempotent

Every service, solution, Databricks, AI, cloud, software, accelerator and product page on techfabric.com: its name, URL, kind and summary, exactly as the live page states them. Read one in full with get_page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
indexesYes
servicesYes

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 cover the safety profile (readOnlyHint, idempotentHint, non-destructive, closed world), so the bar is lower. The description still adds two useful traits beyond them: the result set is exhaustive ('Every ... page'), and field values are reported verbatim ('exactly as the live page states them'). It says nothing about result volume or pagination behavior for a whole-site catalog.

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, zero waste, with the scope and return fields front-loaded and the sibling routing deferred to the end. The category enumeration is long but informative about coverage rather than 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 an output schema present, return values need no explanation, and annotations cover safety and world assumptions. The only real omission is any indication of catalog size or pagination, which matters for a whole-site listing tool.

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, so there is no parameter semantics for the description to carry; baseline 4 applies. Schema description coverage is 100% and additionalProperties is false, leaving nothing ambiguous.

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/resource ('Every service, solution, ... page on techfabric.com') and enumerates exactly what each item carries (name, URL, kind, summary). It also names the sibling get_page as the way to read a single item in full, so an agent can distinguish it from get_page without opening either 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?

Gives a clear use context (enumerate the full catalog of offering pages) and explicitly routes deep reads to get_page. It stops short of distinguishing itself from the other retrieval siblings such as search or list_posts, so the when-not guidance is partial.

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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