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OFODevelopment

CerebroChain MCP Server

search_inventory

Search inventory items by name, SKU, or barcode with optional category filter. Returns SKU, name, quantity, location, and category.

Instructions

Search inventory items with filters. Returns SKU, name, quantity, location, category. Requires API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNoSearch term (name, SKU, barcode)
categoryNoFilter by category
pageNoPage number
limitNoItems per page
Behavior2/5

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

No annotations are present, so the description must cover behavioral traits. It mentions the API key requirement and lists return fields, but omits pagination behavior, search semantics (fuzzy/exact), error handling, and rate limits. This is minimal for a search tool.

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?

The description is two efficient sentences with no fluff. The core purpose and return fields are front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters, no output schema, and no annotations, the description is incomplete. It does not explain pagination behavior, default sorting, or when to use this tool over siblings with overlapping functionality.

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 descriptions are already clear and cover 100% of parameters. The tool description adds no additional semantic value beyond stating 'with filters', which is already implied. Baseline 3 is appropriate.

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?

The description clearly states it searches inventory items with filters and lists return fields (SKU, name, quantity, location, category). However, it does not differentiate from similar sibling tools like 'lookup_sku', which likely offers a more specific search by SKU.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'lookup_sku' or 'get_warehouse_locations'. It only mentions a prerequisite (API key) but lacks context on appropriate scenarios.

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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