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harpd-dev

harpd-mcp

Official
by harpd-dev

List Harpd AI products (paginated)

get_products
Read-only

Paginate through Harpd's full product catalog (1,122 records) with filters on category, verification, product type, and rankPoints range to enumerate or bulk-export data. Use for large-scale retrieval; each result includes full provenance.

Instructions

Page through the full Harpd open product catalog (1,122 records) with filters on category, verification state, product type and rankPoints range. Use this to enumerate or bulk-export products; use search_products for free-text lookup. IMPORTANT: rankPoints are promotional placement bought with Credits on Harpd Rank, NOT an editorial quality score. Sorting by "rankPoints" orders by promotional placement, not by merit. Page size is capped at 200. Every record carries full provenance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoOrdering of the returned records. "rank" = board position ascending. "rankPoints" = descending by promotional placement, which is NOT a quality ordering. "name" = alphabetical.rank
limitNoMaximum number of records to return (1-200, default 20).
offsetNoNumber of records to skip before the page starts. Must be >= 0.
categoryNoExact Harpd category slug.
verifiedNoFilter by Harpd verification state.
productTypeNoSubstring match against the free-text productType field, e.g. "Design platform".
maxRankPointsNoOnly products with rankPoints <= this value.
minRankPointsNoOnly products with rankPoints >= this value.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already signal readOnlyHint and openWorldHint, but the description adds substantial extra behavioral context: rankPoints are promotional placement bought with Credits, not an editorial quality score, sorting by rankPoints is a non-merit ordering, page size is capped at 200, and every record carries full provenance. This meaningfully exceeds the annotation coverage.

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 compact and every sentence earns its place: primary purpose, usage routing, the critical rankPoints caveat, pagination cap, and provenance note. The most decision-relevant information (what it is and when to use it) is front-loaded.

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

Completeness5/5

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

Despite having 8 parameters and no output schema, the description gives an agent everything needed to invoke the tool correctly: scope, filters, pagination behavior, sorting semantics, and the distinction from search_products. The provenance note partially compensates for the absent output schema by setting expectations about record completeness.

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 coverage is 100%, so the baseline is 3. The description adds value by warning that sorting by 'rankPoints' orders by promotional placement rather than merit, which directly enriches the most subtle parameter. It also summarizes the filter dimensions (category, verification, product type, rankPoints range), but the schema already covers those clearly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Page through') and resource ('full Harpd open product catalog'), and explicitly distinguishes itself from search_products as the enumeration/bulk-export path. This leaves no ambiguity about what the tool does or how it differs from its closest sibling.

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

Usage Guidelines5/5

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

The description states when to use this tool ('Use this to enumerate or bulk-export products') and explicitly routes users away from it for free-text lookup ('use search_products for free-text lookup'). This provides clear selection guidance against the main alternative.

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