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Node Market

node_market

Supply↔demand bridge for ONE jurisdiction: makers (supply) and retailers (demand) as two separate counts (never summed), plus the same-node potential bridge pairs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3/5.0
Behavior3/5

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. It does disclose a genuinely useful trait — 'two separate counts (never summed)' — plus the presence of same-node bridge pairs and the single-jurisdiction scope. It does not cover absent-data or error behavior, but the never-summed warning and scope constitute real behavioral value beyond a trivial statement.

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 dense sentence with zero filler; scope and the two key behavioral traits are front-loaded. Efficient and waste-free, though the shorthand and technical jargon ('bridge', 'same-node') make it marginally harder to parse than a plainer phrasing would.

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?

The output schema covers return format, lowering the bar. Remaining gaps: no provenance for `code`, no explicit differentiation from per-entity siblings, and 'same-node potential bridge pairs' is undefined. Adequate for tool selection but not fully self-contained.

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

Parameters2/5

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

With schema description coverage at 0%, the description must document `code` and only implies it is a jurisdiction identifier via 'ONE jurisdiction'. It neither names the parameter explicitly, nor states its format or how to obtain valid values (e.g., via resolve_node or list_nodes siblings). This is only partial compensation for an undocumented parameter.

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 identifies a specific resource — maker/retailer counts plus potential bridge pairs for one jurisdiction — and its aggregate nature implicitly contrasts with entity-level siblings (find_makers, find_retailers). However, the metaphor ('bridge') and phrase 'same-node potential bridge pairs' are cryptic; the core intent is legible ('two separate counts per jurisdiction') but the wording keeps it from being crisp.

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?

No explicit guidance on when to call this tool versus the siblings. It never names find_makers, find_retailers, or count_gtin_coverage, nor states a condition such as 'use when you need per-jurisdiction aggregates instead of entity-level lookups.' Usage is only implied by the phrase 'ONE jurisdiction', leaving the agent to infer selection on its own.

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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TDQS

B3.1/5.0
Disambiguation2/5

Multiple tools overlap heavily: resolve_gtin, resolve_sparks, and get_signal_chain all resolve GTINs to different but closely related signals, and resolve_node vs node_market both return the same node with makers/retailers counts. Agents will struggle to pick the correct tool without reading deep into descriptions.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (check_, count_, find_, get_, list_, resolve_), but node_market breaks the pattern and the get_ vs resolve_ distinction is not obvious. Overall readable with only minor deviations.

Tool Count5/5

14 tools is well-scoped for a CPG knowledge graph covering GTIN resolution, eligibility, supply/demand search, node metadata, taxonomy, and brand coverage. Each tool reasonably earns its place without overwhelming the surface.

Completeness5/5

The surface covers the apparent domain comprehensively: GTIN resolution, eligibility checks, maker/retailer discovery, node/spine queries, SKU taxonomy, brand listings, signal chains, and registries. For a read-only knowledge graph, there are no obvious dead ends or missing core operations.