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Achindra2003

Zoho Inventory Connector

by Achindra2003

search_items

Read-onlyIdempotent

Locate stock items by partial name or SKU when the exact code is unknown. Use pagination to browse results.

Instructions

Find items by partial name or SKU when you do not know the exact SKU.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNoWhich field to match. 'any' searches name and SKU.any
matchNoIgnored when field='any'.contains
queryYesText to look for, e.g. 'kurta' or 'ST-TEE'.
cursorNonext_cursor from the previous page; omit for the first page.
page_sizeNoResults per page (1-100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
has_moreYes
returnedYes
next_cursorNoPass back as `cursor` to fetch the next page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered. The description adds nothing about result ordering, case sensitivity, or empty-result behavior, and pagination is only covered by the schema's cursor/page_size docs.

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?

A single front-loaded sentence with the action first and the qualifying condition second. No filler or 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?

With an output schema present and rich annotations, the description need not explain return values or pagination. It is complete enough to call correctly, though naming the exact-match alternative would close the last gap.

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% and all five parameters (including the field/match enums and pagination) are fully documented in the schema. The description adds no semantics beyond what the schema already provides, so the baseline 3 applies.

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 ('items') plus the match basis (partial name or SKU). It implicitly contrasts with exact-SKU lookup, but it never names the sibling (get_item) that handles the exact case, so an agent must infer the boundary.

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 trigger condition: use when you do not know the exact SKU. That implicitly routes exact lookups elsewhere, but no sibling tool is named explicitly and no exclusions (e.g. vs list_items) are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.