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Poshmark sold listings

poshmark_sold
Read-onlyIdempotent

Search one page of Poshmark sold listings by keyword, on Poshmark US or Canada. Pages use a cursor. Results are cached for 15 minutes. Each completed search costs 1 request, cache hits included; failed searches are free. Docs: https://soldgraph.com/docs/api/poshmark-sold

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesSearch keywords, 1–200 characters, as you'd type them into the marketplace's search box. Be specific: model, size, grade, edition.
pageNoSource page to fetch. Where an endpoint has cursor, pages after 1 also need it.
cursorNoThe previous page's next_cursor. Leave it out on page 1. Required on every later page.
fieldsNosummary keeps the fields most agents need; full returns every field the API returns.summary
countryNoWhich Poshmark site to search: us (poshmark.com, US dollars) or ca (poshmark.ca, Canadian dollars). Results, prices, min_price and max_price use that site's currency. Optional.us
conditionNoOne of Poshmark's own condition codes: nwt (new with tags), uln (like new), ug (good) or uf (fair). Rows use the same codes. Poshmark filters one condition at a time, so more than one returns 422.
max_priceNoHighest price, in whole units of the country's currency (US dollars for us). Optional. You can send it without min_price.
min_priceNoLowest price, in whole units of the country's currency (US dollars for us). Optional. Must not be more than max_price. You can send it without max_price.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare a safe, idempotent, open-world read, and the description layers on real behavioral detail beyond them: cursor-based pagination, a 15-minute result cache, per-search request billing that includes cache hits, and free failed searches. That is exactly the operational context an agent needs before spending requests.

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?

Five short sentences: purpose first, then pagination, caching, billing, and a docs link. Each sentence carries distinct information and nothing is padded, though the cursor sentence partially overlaps the schema and the docs URL is an added tail.

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 no output schema, the description still gives the agent the essentials: what a call returns (one page of sold listings), how paging works, and what it costs. It does not describe the shape of result rows or how the fields=summary/full toggle affects output, a minor remaining gap given the schema covers parameters.

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%, with the schema itself documenting q, page, cursor, fields, country, condition, and price bounds in detail. The description only restates keyword search and country in passing, adding no syntax or format meaning beyond the schema, so the baseline 3 applies.

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?

States a specific verb and resource ('Search one page of Poshmark sold listings by keyword') plus scope ('on Poshmark US or Canada'). This clearly distinguishes it from the sibling poshmark_listings (active listings) and from other marketplaces' *_sold tools.

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

Usage Guidelines3/5

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

The 'sold listings' framing implies this is the tool for sold/comparable pricing data versus poshmark_listings, and the cursor/caching notes set invocation context. However, no sibling is named and there are no explicit when-to-use/when-not conditions, so the agent must infer the choice.

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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