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Xevol Store

Search Store

search_store
Read-only

Find what Xevol's store offers, the same listings xevol.com shows: ready-made jobs, products, services and screens from Xevol and other publishers. Pass optional words (q; every word must appear in the card), app, kind or goodFor (a kind of customer), or nothing with limit 200 for the whole store, and match it to the business yourself. Each card has link, the page a person opens to get it, when there is one; its address is https://xevol.com//. Free and read-only; it installs nothing.

Input Schema

NameRequiredDescriptionDefault
qNo
appNo
kindNo
limitNo
goodForNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint=false, and destructiveHint=false, so the safety profile is covered. The description still adds real context: that the tool is free and installs nothing, that results are unranked so the caller must match them to a business, and what the returned link points to. It omits result ordering/pagination behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

Front-loaded with purpose, but the sentences are long run-ons that pack filtering, URL templating, and licensing into one paragraph. Phrases like 'match it to the business yourself' are cryptic and the https://xevol.com/<name>/<slug> template adds bulk for modest value.

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?

With five parameters and no output schema, the description should explain returned data, but it describes only the `link` field of each card. For a search tool whose results must be interpreted and matched by the caller, missing card structure (titles, publisher, kind markers) is a real gap, though the parameter and licensing gaps are otherwise handled.

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 description coverage is 0%, so the description must carry the burden, and it largely does: q is explained as all-words-must-match, goodFor as a kind of customer, app and kind are named as filters, and limit 200 is described as the whole-store retrieval. It omits default values and the meaning of each kind enum value, which the schema only lists without explaining.

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?

States a specific verb ('Find') and resource (Xevol's store listings) and enumerates the content types returned (jobs, products, services, screens). It is clear this is a search over the store catalog, though it never names or contrasts with the sibling get_store_item, so differentiation is left implicit.

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 concrete usage context: pass 'nothing' to browse the whole store, and 'q' requires every word to appear in the card. It also warns that matching results to a business is the caller's job. No explicit when-not-to-use or alternative-tool routing is provided.

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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