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Tendrils — live commerce tools for AI agents

find_products_by_constraints

Search the Jennifer Furniture catalog by category, budget (e.g. under $4000), material, features, and stock availability.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum number of results to return (1-25, defaults to 10)
queryNoConversational natural query (e.g. 'sofa under $4000 for family with pets')
categoryNoFurniture category to search (e.g., 'sectional', 'sofa', 'loveseat', 'dining table', 'bed', 'recliner', 'accent chair')
featuresNoList of desired features (e.g., ['sleeper', 'power-reclining', 'storage', 'chaise'])
materialNoMaterial or upholstery type (e.g., 'leather', 'fabric', 'velvet', 'microfiber', 'wood')
max_priceNoMaximum budget in USD (e.g., 4000)
min_priceNoMinimum price in USD (e.g., 500)
in_stock_onlyNoWhether to return only in-stock items with inventory > 0 (defaults to true)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. 'Search' implies a read-only operation, but the description says nothing about result ordering, pagination beyond the limit field, how the free-text query interacts with the structured filters, or whether the default in_stock_only=true silently narrows results. For an annotation-free tool with 8 parameters, that is a substantial gap.

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?

A single front-loaded sentence with no filler, and the facets are listed in a sensible order. It is efficient, though the parenthetical budget example slightly duplicates the schema and the sentence could have carried a routing hint at no cost.

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 no output schema and no annotations, the description should explain return shape and filter interaction. It identifies every searchable dimension, which covers the surface, but leaves return contents, result ordering, and query-vs-filter precedence unexplained for a fairly complex 8-parameter tool.

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%, so every parameter is already documented with examples, making the baseline 3. The description's mention of 'budget (e.g. under $4000)' loosely maps to max_price but adds no syntax or interaction semantics beyond what the schema states. It neither compensates for nor duplicates the schema in a harmful way.

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 gives a clear verb ('Search') and a specific resource ('the Jennifer Furniture catalog') and enumerates the facet dimensions (category, budget, material, features, stock). An agent immediately understands the operation. It does not, however, distinguish this tool from siblings like compare_products or get_product_details, which a browsing agent could plausibly confuse for the same catalog.

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?

There is no when-to-use guidance and no named alternative. It never says to use this tool for discovery and then call get_product_details or compare_products for follow-up, nor does it state any exclusions (e.g. that it does not fetch full details or images). Usage must be inferred from the name and facet list.

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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