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7IT Solutions

Search 7IT guides and articles

search_7it_guides
Read-onlyIdempotent

Searches 7IT Solutions’ guides and articles on custom software, eCommerce (Shopify, WooCommerce, headless), automation and integrations, payments, AI in production, security and reliability. Returns the best matches with a short excerpt and a link to cite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many results to return. Default 5.
queryYesWhat to look for, for example "reliable webhooks" or "shopify vs woocommerce".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds genuinely new context by stating what the response contains (best matches, a short excerpt, and a citable link), which is valuable given there is no output schema. It omits ranking behavior or result limits, keeping it short of 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the verb and resource, and the second sentence usefully covers the return shape. The middle topical enumeration is somewhat list-heavy but does convey scope, so it largely earns its place.

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 read-only search tool with full schema coverage and no output schema, the description supplies the topic scope and return format an agent needs. It leaves minor gaps around result ranking and how the result cap interacts with queries.

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

Parameters3/5

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

Schema description coverage is 100%, with both query and limit documented including bounds, so the schema carries the parameter burden. The description adds only indirect topical context for the query and nothing about the limit parameter, so the baseline 3 applies.

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 ("Searches") and resource ("7IT Solutions' guides and articles") and enumerates the topical scope, which cleanly separates it from siblings like estimate_automation_roi, get_field_kit, and test_store_speed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the topic list – an agent can infer this is the tool for answering content questions, but there is no explicit when-to-use, when-not-to-use, or named alternative.

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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